Instructions to use owaiskha9654/PicoClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use owaiskha9654/PicoClassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="owaiskha9654/PicoClassifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("owaiskha9654/PicoClassifier") model = AutoModelForSequenceClassification.from_pretrained("owaiskha9654/PicoClassifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (b620d68255046a0bde21788c2f48feeafd1fcfc3) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>01ce21c
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add model
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initial commit
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