Instructions to use h1alexbel/github-samples-tclassifier-testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use h1alexbel/github-samples-tclassifier-testing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="h1alexbel/github-samples-tclassifier-testing")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("h1alexbel/github-samples-tclassifier-testing") model = AutoModelForSequenceClassification.from_pretrained("h1alexbel/github-samples-tclassifier-testing", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from h1alexbel/github-samples-tclassifier-testing: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
-
https://huggingface.co/h1alexbel/github-samples-tclassifier-testing/resolve/7db2a00a286bfe7b8c1f58273c07d026b18f1a16/tokenizer.json
- Command line
-
hf download hf://h1alexbel/github-samples-tclassifier-testing@7db2a00a286bfe7b8c1f58273c07d026b18f1a16/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/h1alexbel/github-samples-tclassifier-testing/resolve/7db2a00a286bfe7b8c1f58273c07d026b18f1a16/tokenizer.json
712 kB
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