Instructions to use chatwithnerd/tiny-bert-master-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chatwithnerd/tiny-bert-master-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="chatwithnerd/tiny-bert-master-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("chatwithnerd/tiny-bert-master-classifier") model = AutoModelForSequenceClassification.from_pretrained("chatwithnerd/tiny-bert-master-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from chatwithnerd/tiny-bert-master-classifier: direct link, hf CLI and curl.
- Browser
- Download file 57.5 MB
-
https://huggingface.co/chatwithnerd/tiny-bert-master-classifier/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://chatwithnerd/tiny-bert-master-classifier/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/chatwithnerd/tiny-bert-master-classifier/resolve/main/pytorch_model.bin
57.5 MB
- Xet hash:
- a42ec419d7d69eb7d5bc7222c5a793a4d658eb6d3440ff904f4c8cd08c86fab2
- Size of remote file:
- 57.5 MB
- SHA256:
- 902111aa4c1db5dac1edb17907ba8abf2fa3aac4d73afa3cd2704c3d4a6cb78d
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