Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use zwellington/microtest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zwellington/microtest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zwellington/microtest")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("zwellington/microtest") model = AutoModelForSequenceClassification.from_pretrained("zwellington/microtest", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from zwellington/microtest: direct link, hf CLI and curl.
- Browser
- Download file 4.41 kB
-
https://huggingface.co/zwellington/microtest/resolve/main/training_args.bin
- Command line
-
hf download hf://zwellington/microtest/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/zwellington/microtest/resolve/main/training_args.bin
4.41 kB
- Xet hash:
- 2a6f6db72e3425fc43af3c7593b0206a9f5fe591c5580a9913a116fbae889e3e
- Size of remote file:
- 4.41 kB
- SHA256:
- df0d697dcb6d8dfc15a58905456269eb3ebf1adfe57a73c70b7e149bbb8aa1bb
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