Instructions to use capemox/InLegalLongformer-4096 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use capemox/InLegalLongformer-4096 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="capemox/InLegalLongformer-4096")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("capemox/InLegalLongformer-4096") model = AutoModel.from_pretrained("capemox/InLegalLongformer-4096", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from capemox/InLegalLongformer-4096: direct link, hf CLI and curl.
- Browser
- Download file 702 kB
-
https://huggingface.co/capemox/InLegalLongformer-4096/resolve/main/tokenizer.json
- Command line
-
hf download hf://capemox/InLegalLongformer-4096/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/capemox/InLegalLongformer-4096/resolve/main/tokenizer.json
702 kB
File too large to display, you can check the raw version instead.