Instructions to use gerbejon/longcoder-html-nodes-mc-classifier-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gerbejon/longcoder-html-nodes-mc-classifier-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gerbejon/longcoder-html-nodes-mc-classifier-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gerbejon/longcoder-html-nodes-mc-classifier-v1") model = AutoModelForSequenceClassification.from_pretrained("gerbejon/longcoder-html-nodes-mc-classifier-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from gerbejon/longcoder-html-nodes-mc-classifier-v1: direct link, hf CLI and curl.
- Browser
- Download file 3.58 MB
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https://huggingface.co/gerbejon/longcoder-html-nodes-mc-classifier-v1/resolve/main/tokenizer.json
- Command line
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hf download hf://gerbejon/longcoder-html-nodes-mc-classifier-v1/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/gerbejon/longcoder-html-nodes-mc-classifier-v1/resolve/main/tokenizer.json
3.58 MB
File too large to display, you can check the raw version instead.