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:
- f96c89c8d4b750558c16a0c5b9c24ff9f3ffa7e1bf76957559d69b87f9be7f3d
- Size of remote file:
- 536 MB
- SHA256:
- 289b6eb3414b5a6bc6bb64abdf4715133cbef0335066a571c9d1d48367f8fe72
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