Text Classification
Transformers
PyTorch
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use ejschwartz/oo-method-test-model-bylibrary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ejschwartz/oo-method-test-model-bylibrary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ejschwartz/oo-method-test-model-bylibrary")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ejschwartz/oo-method-test-model-bylibrary") model = AutoModelForSequenceClassification.from_pretrained("ejschwartz/oo-method-test-model-bylibrary", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ejschwartz/oo-method-test-model-bylibrary: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/ejschwartz/oo-method-test-model-bylibrary/resolve/main/training_args.bin
- Command line
-
hf download hf://ejschwartz/oo-method-test-model-bylibrary/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ejschwartz/oo-method-test-model-bylibrary/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- 2f66613d45185797f41862be55e8fd6a693944c5d266ad48f3bfe83e2454ce44
- Size of remote file:
- 4.09 kB
- SHA256:
- fd53e0d754a3663b0d09c467b208c3c5c2cc90776753d40c79e182fcf1bd5913
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