Instructions to use leoh/longformer-base-16392 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leoh/longformer-base-16392 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="leoh/longformer-base-16392")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("leoh/longformer-base-16392") model = AutoModel.from_pretrained("leoh/longformer-base-16392", device_map="auto") - Notebooks
- Google Colab
- Kaggle
add model
Browse files- config.json +23 -5
config.json
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{
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"_name_or_path": "
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"architectures": [
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"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings":
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"model_type": "
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50265
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{
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"_name_or_path": "allenai/longformer-base-4096",
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"architectures": [
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"LongformerModel"
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],
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"attention_mode": "longformer",
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"attention_probs_dropout_prob": 0.1,
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"attention_window": [
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512,
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512,
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512,
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512,
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512,
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512,
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512,
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512,
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512,
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512,
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512,
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512
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],
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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_id": 2,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"ignore_attention_mask": false,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 16392,
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"model_type": "longformer",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"sep_token_id": 2,
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"torch_dtype": "float32",
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"transformers_version": "4.18.0",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50265
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