Instructions to use ClaudeYang/awesome_fb_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ClaudeYang/awesome_fb_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="ClaudeYang/awesome_fb_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ClaudeYang/awesome_fb_model") model = AutoModelForSequenceClassification.from_pretrained("ClaudeYang/awesome_fb_model") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": "/content/drive/My Drive/p11/models/optimized_fb_model", | |
| "_num_labels": 3, | |
| "activation_dropout": 0.0, | |
| "activation_function": "gelu", | |
| "add_final_layer_norm": false, | |
| "architectures": [ | |
| "BartForSequenceClassification" | |
| ], | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 0, | |
| "classif_dropout": 0.0, | |
| "classifier_dropout": 0.0, | |
| "d_model": 1024, | |
| "decoder_attention_heads": 16, | |
| "decoder_ffn_dim": 4096, | |
| "decoder_layerdrop": 0.0, | |
| "decoder_layers": 12, | |
| "decoder_start_token_id": 2, | |
| "dropout": 0.1, | |
| "encoder_attention_heads": 16, | |
| "encoder_ffn_dim": 4096, | |
| "encoder_layerdrop": 0.0, | |
| "encoder_layers": 12, | |
| "eos_token_id": 2, | |
| "forced_eos_token_id": 2, | |
| "gradient_checkpointing": false, | |
| "id2label": { | |
| "0": "contradiction", | |
| "1": "neutral", | |
| "2": "entailment" | |
| }, | |
| "init_std": 0.02, | |
| "is_encoder_decoder": true, | |
| "label2id": { | |
| "contradiction": 0, | |
| "entailment": 2, | |
| "neutral": 1 | |
| }, | |
| "max_position_embeddings": 1024, | |
| "model_type": "bart", | |
| "normalize_before": false, | |
| "num_hidden_layers": 12, | |
| "output_past": false, | |
| "pad_token_id": 1, | |
| "push_to_hub": true, | |
| "scale_embedding": false, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.12.3", | |
| "use_cache": true, | |
| "vocab_size": 50265 | |
| } | |