Text Classification
Transformers
PyTorch
English
bert
Generated from Trainer
text-embeddings-inference
Instructions to use henryscheible/eval_stsb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henryscheible/eval_stsb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="henryscheible/eval_stsb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("henryscheible/eval_stsb") model = AutoModelForSequenceClassification.from_pretrained("henryscheible/eval_stsb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from henryscheible/eval_stsb: direct link, hf CLI and curl.
- Browser
- Download file 3.38 kB
-
https://huggingface.co/henryscheible/eval_stsb/resolve/main/training_args.bin
- Command line
-
hf download hf://henryscheible/eval_stsb/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/henryscheible/eval_stsb/resolve/main/training_args.bin
3.38 kB
- Xet hash:
- 3494415325e53a973d63aec2917b0db09c87c5618d0f9f06a6b786297175de23
- Size of remote file:
- 3.38 kB
- SHA256:
- da2a3de50b431d3d572ab0de1077b18d5bb010b772431daf0cbb2607fe4d2b6e
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