Instructions to use h1alexbel/github-samples-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use h1alexbel/github-samples-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="h1alexbel/github-samples-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("h1alexbel/github-samples-classifier") model = AutoModelForSequenceClassification.from_pretrained("h1alexbel/github-samples-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 913cbdbabf69f6b4f320cd2564c6b9e92912db88b7a440ab1269cf963a589e45
- Size of remote file:
- 268 MB
- SHA256:
- 6149ef54fdc682112b91a93deaf82bef713bb3fdff01c79040aa8a3bc4875534
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