Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Wei-K/LLM_HW01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Wei-K/LLM_HW01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Wei-K/LLM_HW01")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Wei-K/LLM_HW01") model = AutoModelForSequenceClassification.from_pretrained("Wei-K/LLM_HW01", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aaafa748563182ff810c5c5446d6aafb8b85bd761322ff660ade5696139b7a83
- Size of remote file:
- 4.79 kB
- SHA256:
- cb3fe4dc151dc3f4740c849e4f5355128a7f0971200e88107a5508375a3fd3c0
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