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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 38ddb9d340060e1e52cbd51c5184d81acedf74b7e2a6c987571bd5a5be07d8eb
- Size of remote file:
- 4.79 kB
- SHA256:
- e2033abcfc908036444731db3df39deed480fd2d9f24277375132cf7e18f6781
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