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:
- 494ae9ac6bf60160d7bde6c69dba422d24026f5627cd88a42085b9288d826151
- Size of remote file:
- 598 MB
- SHA256:
- 25a094f1bd908c60975a2533a51c88eedefffd6deedb537d480d15e72a3778e4
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