Transformers
Safetensors
t5
text2text-generation
protein-language-model
fastplms
custom_code
text-generation-inference
Instructions to use Synthyra/ANKH_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Synthyra/ANKH_base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Synthyra/ANKH_base", trust_remote_code=True) model = AutoModelForSeq2SeqLM.from_pretrained("Synthyra/ANKH_base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload FastAnkhForMaskedLM
Browse files- config.json +12 -14
- model.safetensors +2 -2
config.json
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{
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"_name_or_path": "ElnaggarLab/ankh-base",
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"architectures": [
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"
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],
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"
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"d_ff": 3072,
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"d_kv": 64,
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"d_model": 768,
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"decoder_start_token_id": 0,
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"dense_act_fn": "gelu_new",
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"
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"eos_token_id": 1,
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"feed_forward_proj": "gated-gelu",
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"initializer_factor": 1.0,
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"is_encoder_decoder": false,
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"is_gated_act": true,
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"layer_norm_epsilon": 1e-06,
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"model_type": "
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"num_decoder_layers": 0,
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"num_heads": 12,
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"num_layers": 48,
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"output_past": true,
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"pad_token_id": 0,
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"relative_attention_max_distance": 128,
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"relative_attention_num_buckets": 64,
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"tie_word_embeddings": false,
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"
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"transformers_version": "4.35.2",
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"use_cache": true,
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"vocab_size": 144
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}
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{
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"architectures": [
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"FastAnkhForMaskedLM"
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],
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"attn_backend": "sdpa",
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"auto_map": {
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"AutoConfig": "modeling_ankh.FastAnkhConfig",
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"AutoModel": "modeling_ankh.FastAnkhModel",
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"AutoModelForMaskedLM": "modeling_ankh.FastAnkhForMaskedLM",
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"AutoModelForSequenceClassification": "modeling_ankh.FastAnkhForSequenceClassification",
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"AutoModelForTokenClassification": "modeling_ankh.FastAnkhForTokenClassification"
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},
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"d_ff": 3072,
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"d_kv": 64,
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"d_model": 768,
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"dense_act_fn": "gelu_new",
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"dtype": "float32",
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"eos_token_id": 1,
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"initializer_factor": 1.0,
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"layer_norm_epsilon": 1e-06,
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"model_type": "fast_ankh",
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"num_heads": 12,
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"num_layers": 48,
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"pad_token_id": 0,
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"relative_attention_max_distance": 128,
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"relative_attention_num_buckets": 64,
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"tie_word_embeddings": false,
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"transformers_version": "4.57.6",
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"vocab_size": 144
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:7ec760ceef13d7c4da3767e1328298df1da0d8488a916af7d7e7c3aaca4d1f50
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size 1813174280
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