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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82e71b31e3bcde695a4c02acf8ce555f9c4ca279504eea7f2c975dc44c4a0442
- Size of remote file:
- 5.78 kB
- SHA256:
- a6851479123f703142434e127dd4b977785752b44134ed278a7592e2d8b1a310
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