Instructions to use lyliiiii/phi2-binary-text-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lyliiiii/phi2-binary-text-classification with Transformers:
# Load model directly from transformers import PhiForSequenceClassificationModified model = PhiForSequenceClassificationModified.from_pretrained("lyliiiii/phi2-binary-text-classification", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 836 Bytes
b090f70 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 | {
"_name_or_path": "microsoft/phi-2",
"activation_function": "gelu_new",
"architectures": [
"PhiForSequenceClassificationModified"
],
"attn_pdrop": 0.0,
"auto_map": {
"AutoConfig": "microsoft/phi-2--configuration_phi.PhiConfig",
"AutoModelForCausalLM": "microsoft/phi-2--modeling_phi.PhiForCausalLM"
},
"embd_pdrop": 0.0,
"flash_attn": false,
"flash_rotary": false,
"fused_dense": false,
"img_processor": null,
"initializer_range": 0.02,
"layer_norm_epsilon": 1e-05,
"model_type": "phi-msft",
"n_embd": 2560,
"n_head": 32,
"n_head_kv": null,
"n_inner": null,
"n_layer": 32,
"n_positions": 2048,
"pad_token_id": 50256,
"resid_pdrop": 0.1,
"rotary_dim": 32,
"tie_word_embeddings": false,
"torch_dtype": "float32",
"transformers_version": "4.36.2",
"vocab_size": 51200
}
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