Instructions to use redwoodresearch/classifier-18aug-train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use redwoodresearch/classifier-18aug-train with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="redwoodresearch/classifier-18aug-train")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("redwoodresearch/classifier-18aug-train") model = AutoModelForSequenceClassification.from_pretrained("redwoodresearch/classifier-18aug-train", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b94537a70507f561cf920c14feb90fe1c3f4cc41c4bd7d198f3df70aa084253b
- Size of remote file:
- 1.63 GB
- SHA256:
- 5dc9ac41dcb17c59692c6d85409476ae4a4e608c0c032b063c527c783c8db9eb
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