Instructions to use hyperonym/xlm-roberta-longformer-large-16384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hyperonym/xlm-roberta-longformer-large-16384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hyperonym/xlm-roberta-longformer-large-16384")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hyperonym/xlm-roberta-longformer-large-16384") model = AutoModel.from_pretrained("hyperonym/xlm-roberta-longformer-large-16384", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from hyperonym/xlm-roberta-longformer-large-16384: direct link, hf CLI and curl.
- Browser
- Download file 881 Bytes
-
https://huggingface.co/hyperonym/xlm-roberta-longformer-large-16384/resolve/main/config.json
- Command line
-
hf download hf://hyperonym/xlm-roberta-longformer-large-16384/config.json
-
curl -L -o config.json https://huggingface.co/hyperonym/xlm-roberta-longformer-large-16384/resolve/main/config.json
881 Bytes
| { | |
| "architectures": [ | |
| "LongformerModel" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "attention_window": [ | |
| 512, | |
| 512, | |
| 512, | |
| 512, | |
| 512, | |
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| 512, | |
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| 512 | |
| ], | |
| "bos_token_id": 0, | |
| "classifier_dropout": null, | |
| "eos_token_id": 2, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 1024, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 4096, | |
| "layer_norm_eps": 1e-05, | |
| "max_position_embeddings": 16386, | |
| "model_type": "longformer", | |
| "num_attention_heads": 16, | |
| "num_hidden_layers": 24, | |
| "onnx_export": false, | |
| "pad_token_id": 1, | |
| "position_embedding_type": "absolute", | |
| "sep_token_id": 2, | |
| "transformers_version": "4.26.0", | |
| "type_vocab_size": 1, | |
| "vocab_size": 250002 | |
| } | |