Instructions to use capemox/longformer-2048 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use capemox/longformer-2048 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="capemox/longformer-2048")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("capemox/longformer-2048") model = AutoModel.from_pretrained("capemox/longformer-2048", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from capemox/longformer-2048: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/capemox/longformer-2048/resolve/main/tokenizer.json
- Command line
-
hf download hf://capemox/longformer-2048/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/capemox/longformer-2048/resolve/main/tokenizer.json
3.56 MB
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