Instructions to use xshubhamx/bart-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xshubhamx/bart-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="xshubhamx/bart-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("xshubhamx/bart-large") model = AutoModelForSequenceClassification.from_pretrained("xshubhamx/bart-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- training_checkpoints/checkpoint-43673/config.json +99 -0
- training_checkpoints/checkpoint-43673/merges.txt +0 -0
- training_checkpoints/checkpoint-43673/model.safetensors +3 -0
- training_checkpoints/checkpoint-43673/optimizer.pt +3 -0
- training_checkpoints/checkpoint-43673/rng_state.pth +3 -0
- training_checkpoints/checkpoint-43673/scheduler.pt +3 -0
- training_checkpoints/checkpoint-43673/special_tokens_map.json +15 -0
- training_checkpoints/checkpoint-43673/tokenizer.json +0 -0
- training_checkpoints/checkpoint-43673/tokenizer_config.json +57 -0
- training_checkpoints/checkpoint-43673/trainer_state.json +915 -0
- training_checkpoints/checkpoint-43673/training_args.bin +3 -0
- training_checkpoints/checkpoint-43673/vocab.json +0 -0
training_checkpoints/checkpoint-43673/config.json
ADDED
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| 1 |
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{
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| 2 |
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"_name_or_path": "facebook/bart-large",
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| 3 |
+
"activation_dropout": 0.1,
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| 4 |
+
"activation_function": "gelu",
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| 5 |
+
"add_bias_logits": false,
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| 6 |
+
"add_final_layer_norm": false,
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| 7 |
+
"architectures": [
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| 8 |
+
"BartForSequenceClassification"
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| 9 |
+
],
|
| 10 |
+
"attention_dropout": 0.1,
|
| 11 |
+
"bos_token_id": 0,
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| 12 |
+
"classif_dropout": 0.1,
|
| 13 |
+
"classifier_dropout": 0.0,
|
| 14 |
+
"d_model": 1024,
|
| 15 |
+
"decoder_attention_heads": 16,
|
| 16 |
+
"decoder_ffn_dim": 4096,
|
| 17 |
+
"decoder_layerdrop": 0.0,
|
| 18 |
+
"decoder_layers": 12,
|
| 19 |
+
"decoder_start_token_id": 2,
|
| 20 |
+
"dropout": 0.1,
|
| 21 |
+
"early_stopping": true,
|
| 22 |
+
"encoder_attention_heads": 16,
|
| 23 |
+
"encoder_ffn_dim": 4096,
|
| 24 |
+
"encoder_layerdrop": 0.0,
|
| 25 |
+
"encoder_layers": 12,
|
| 26 |
+
"eos_token_id": 2,
|
| 27 |
+
"forced_bos_token_id": 0,
|
| 28 |
+
"forced_eos_token_id": 2,
|
| 29 |
+
"gradient_checkpointing": false,
|
| 30 |
+
"id2label": {
|
| 31 |
+
"0": "Issue",
|
| 32 |
+
"1": "Court Discourse",
|
| 33 |
+
"2": "Conclusion",
|
| 34 |
+
"3": "Precedent Analysis",
|
| 35 |
+
"4": "Section Analysis",
|
| 36 |
+
"5": "Argument by Petitioner",
|
| 37 |
+
"6": "Fact",
|
| 38 |
+
"7": "Argument by Respondent",
|
| 39 |
+
"8": "Ratio",
|
| 40 |
+
"9": "Appellant",
|
| 41 |
+
"10": "Respondent",
|
| 42 |
+
"11": "Argument by Appellant",
|
| 43 |
+
"12": "Petitioner",
|
| 44 |
+
"13": "Judge",
|
| 45 |
+
"14": "Argument by Defendant"
|
| 46 |
+
},
|
| 47 |
+
"init_std": 0.02,
|
| 48 |
+
"is_encoder_decoder": true,
|
| 49 |
+
"label2id": {
|
| 50 |
+
"Appellant": 9,
|
| 51 |
+
"Argument by Appellant": 11,
|
| 52 |
+
"Argument by Defendant": 14,
|
| 53 |
+
"Argument by Petitioner": 5,
|
| 54 |
+
"Argument by Respondent": 7,
|
| 55 |
+
"Conclusion": 2,
|
| 56 |
+
"Court Discourse": 1,
|
| 57 |
+
"Fact": 6,
|
| 58 |
+
"Issue": 0,
|
| 59 |
+
"Judge": 13,
|
| 60 |
+
"Petitioner": 12,
|
| 61 |
+
"Precedent Analysis": 3,
|
| 62 |
+
"Ratio": 8,
|
| 63 |
+
"Respondent": 10,
|
| 64 |
+
"Section Analysis": 4
|
| 65 |
+
},
|
| 66 |
+
"max_position_embeddings": 1024,
|
| 67 |
+
"model_type": "bart",
|
| 68 |
+
"no_repeat_ngram_size": 3,
|
| 69 |
+
"normalize_before": false,
|
| 70 |
+
"num_beams": 4,
|
| 71 |
+
"num_hidden_layers": 12,
|
| 72 |
+
"pad_token_id": 1,
|
| 73 |
+
"problem_type": "single_label_classification",
|
| 74 |
+
"scale_embedding": false,
|
| 75 |
+
"task_specific_params": {
|
| 76 |
+
"summarization": {
|
| 77 |
+
"length_penalty": 1.0,
|
| 78 |
+
"max_length": 128,
|
| 79 |
+
"min_length": 12,
|
| 80 |
+
"num_beams": 4
|
| 81 |
+
},
|
| 82 |
+
"summarization_cnn": {
|
| 83 |
+
"length_penalty": 2.0,
|
| 84 |
+
"max_length": 142,
|
| 85 |
+
"min_length": 56,
|
| 86 |
+
"num_beams": 4
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| 87 |
+
},
|
| 88 |
+
"summarization_xsum": {
|
| 89 |
+
"length_penalty": 1.0,
|
| 90 |
+
"max_length": 62,
|
| 91 |
+
"min_length": 11,
|
| 92 |
+
"num_beams": 6
|
| 93 |
+
}
|
| 94 |
+
},
|
| 95 |
+
"torch_dtype": "float32",
|
| 96 |
+
"transformers_version": "4.35.2",
|
| 97 |
+
"use_cache": true,
|
| 98 |
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"vocab_size": 50265
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| 99 |
+
}
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training_checkpoints/checkpoint-43673/merges.txt
ADDED
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training_checkpoints/checkpoint-43673/model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:7ffbe077854e45cfa65b036a17fe8cf41b6eeaf13d5a0aac78daa17788cfc37c
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| 3 |
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size 1629486164
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training_checkpoints/checkpoint-43673/optimizer.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:789afae73a101871c5976627bdf36bae9c0194c9ab20c50be968a0a248659d9c
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size 3259283099
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training_checkpoints/checkpoint-43673/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:173dbd0381ff1bce3da18489b51b06f428843e44dc994a6e66caa1517e5f3e77
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size 14244
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training_checkpoints/checkpoint-43673/scheduler.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:349a7d1c1b886b918cb762901ca1b52b6b05dbc35ebbafc5f46cad90e4f30cf4
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| 3 |
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size 1064
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training_checkpoints/checkpoint-43673/special_tokens_map.json
ADDED
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{
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| 2 |
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"bos_token": "<s>",
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| 3 |
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"cls_token": "<s>",
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| 4 |
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"eos_token": "</s>",
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| 5 |
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"mask_token": {
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| 6 |
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"content": "<mask>",
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| 7 |
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"lstrip": true,
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| 8 |
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"normalized": true,
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| 9 |
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"rstrip": false,
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| 10 |
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"single_word": false
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| 11 |
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},
|
| 12 |
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"pad_token": "<pad>",
|
| 13 |
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"sep_token": "</s>",
|
| 14 |
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"unk_token": "<unk>"
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| 15 |
+
}
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training_checkpoints/checkpoint-43673/tokenizer.json
ADDED
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training_checkpoints/checkpoint-43673/tokenizer_config.json
ADDED
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@@ -0,0 +1,57 @@
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+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"0": {
|
| 5 |
+
"content": "<s>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": true,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"1": {
|
| 13 |
+
"content": "<pad>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": true,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"2": {
|
| 21 |
+
"content": "</s>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": true,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"3": {
|
| 29 |
+
"content": "<unk>",
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"normalized": true,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
+
},
|
| 36 |
+
"50264": {
|
| 37 |
+
"content": "<mask>",
|
| 38 |
+
"lstrip": true,
|
| 39 |
+
"normalized": true,
|
| 40 |
+
"rstrip": false,
|
| 41 |
+
"single_word": false,
|
| 42 |
+
"special": true
|
| 43 |
+
}
|
| 44 |
+
},
|
| 45 |
+
"bos_token": "<s>",
|
| 46 |
+
"clean_up_tokenization_spaces": true,
|
| 47 |
+
"cls_token": "<s>",
|
| 48 |
+
"eos_token": "</s>",
|
| 49 |
+
"errors": "replace",
|
| 50 |
+
"mask_token": "<mask>",
|
| 51 |
+
"model_max_length": 1024,
|
| 52 |
+
"pad_token": "<pad>",
|
| 53 |
+
"sep_token": "</s>",
|
| 54 |
+
"tokenizer_class": "BartTokenizer",
|
| 55 |
+
"trim_offsets": true,
|
| 56 |
+
"unk_token": "<unk>"
|
| 57 |
+
}
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training_checkpoints/checkpoint-43673/trainer_state.json
ADDED
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