Feature Extraction
Transformers
Safetensors
longformer
Merge
mergekit
lazymergekit
allenai/longformer-base-4096
gpt2
Instructions to use youssef227/merge-my-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use youssef227/merge-my-models with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="youssef227/merge-my-models")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("youssef227/merge-my-models") model = AutoModel.from_pretrained("youssef227/merge-my-models") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": "allenai/longformer-base-4096", | |
| "architectures": [ | |
| "LongformerModel" | |
| ], | |
| "attention_mode": "longformer", | |
| "attention_probs_dropout_prob": 0.1, | |
| "attention_window": [ | |
| 512, | |
| 512, | |
| 512, | |
| 512, | |
| 512, | |
| 512, | |
| 512, | |
| 512, | |
| 512, | |
| 512, | |
| 512, | |
| 512 | |
| ], | |
| "bos_token_id": 0, | |
| "eos_token_id": 2, | |
| "gradient_checkpointing": false, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "ignore_attention_mask": false, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "layer_norm_eps": 1e-05, | |
| "max_position_embeddings": 4098, | |
| "model_type": "longformer", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "onnx_export": false, | |
| "pad_token_id": 1, | |
| "sep_token_id": 2, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.40.2", | |
| "type_vocab_size": 1, | |
| "vocab_size": 50265 | |
| } | |