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
File size: 248 Bytes
3249b2d | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"_from_model_config": true,
"bos_token_id": 2,
"decoder_start_token_id": 2,
"eos_token_id": 1,
"length_penalty": 0.8,
"max_length": 256,
"num_beams": 5,
"pad_token_id": 0,
"transformers_version": "5.0.0",
"use_cache": false
}
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