Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use dannychou/Homework01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dannychou/Homework01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dannychou/Homework01")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dannychou/Homework01") model = AutoModelForSequenceClassification.from_pretrained("dannychou/Homework01") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e50f9e524da575a0fd5f1c7c2ed326bb8d66ca695008a11fd46756b95adee285
- Size of remote file:
- 536 MB
- SHA256:
- 76bfd6e3894be0e9b95fe5540a116da72872f70d49ac3593612e4a1353572d9b
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