Instructions to use transZ/roberta_texid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use transZ/roberta_texid with Transformers:
# Load model directly from transformers import RobertaTeXid model = RobertaTeXid.from_pretrained("transZ/roberta_texid", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 854 Bytes
457b6f0 | 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": "TeXid_model/model_v5",
"architectures": [
"RobertaTeXid"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
"classifier_dropout": null,
"eos_token_id": 2,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"initializer_range": 0.02,
"intermediate_size": 3072,
"layer_norm_eps": 1e-05,
"layers_use_from_last": 4,
"load_from_pretrained": false,
"max_position_embeddings": 514,
"method_for_layers": "sum",
"model_ck": "roberta-base",
"model_type": "roberta_texid",
"num_attention_heads": 12,
"num_classes": 8,
"num_hidden_layers": 12,
"output_hidden_states": true,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.21.1",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 50265
}
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