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:
- 75929c4a79feafa8e7596d4f93d00aca499bb9155393baf1c3973a13ab309c06
- Size of remote file:
- 4.92 kB
- SHA256:
- 2b8997fd3a13a54bfc14d94e0d95f7888a09e00e925b56543bddccfa87662345
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