Instructions to use arirajuns/bigbird-legal-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arirajuns/bigbird-legal-onnx with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="arirajuns/bigbird-legal-onnx")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("arirajuns/bigbird-legal-onnx") model = AutoModelForSeq2SeqLM.from_pretrained("arirajuns/bigbird-legal-onnx", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "backend": "tokenizers", | |
| "bos_token": "<s>", | |
| "cls_token": "[CLS]", | |
| "eos_token": "</s>", | |
| "extra_special_tokens": [], | |
| "is_local": false, | |
| "mask_token": "[MASK]", | |
| "mask_token_sent": null, | |
| "model_max_length": 4096, | |
| "offset": 0, | |
| "pad_token": "<pad>", | |
| "sep_token": "[SEP]", | |
| "tokenizer_class": "PegasusTokenizer", | |
| "unk_token": "<unk>" | |
| } | |