Instructions to use chen70335/longformer-base-4096-with-sampling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chen70335/longformer-base-4096-with-sampling with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="chen70335/longformer-base-4096-with-sampling")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("chen70335/longformer-base-4096-with-sampling") model = AutoModelForSequenceClassification.from_pretrained("chen70335/longformer-base-4096-with-sampling", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download valid.csv from chen70335/longformer-base-4096-with-sampling: direct link, hf CLI and curl.
- Browser
- Download file 1.05 MB
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https://huggingface.co/chen70335/longformer-base-4096-with-sampling/resolve/main/valid.csv
- Command line
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hf download hf://chen70335/longformer-base-4096-with-sampling/valid.csv
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curl -L -o valid.csv https://huggingface.co/chen70335/longformer-base-4096-with-sampling/resolve/main/valid.csv
1.05 MB
File too large to display, you can check the raw version instead.