Instructions to use cchyun/hf-tutorial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cchyun/hf-tutorial with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cchyun/hf-tutorial")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cchyun/hf-tutorial") model = AutoModelForSequenceClassification.from_pretrained("cchyun/hf-tutorial", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad30d7dadc316497a69193adc4d63ff375d2b5905f7b325a349835f80f17615b
- Size of remote file:
- 442 MB
- SHA256:
- 8d9fd51f9506085b57be4ac5710b5f5d2db6ce05f41f58df1bf41ecef4cd15fb
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