Text Classification
Transformers
PyTorch
English
bert
Generated from Trainer
text-embeddings-inference
Instructions to use henryscheible/eval_v2_stsb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henryscheible/eval_v2_stsb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="henryscheible/eval_v2_stsb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("henryscheible/eval_v2_stsb") model = AutoModelForSequenceClassification.from_pretrained("henryscheible/eval_v2_stsb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from henryscheible/eval_v2_stsb: direct link, hf CLI and curl.
- Browser
- Download file 3.38 kB
-
https://huggingface.co/henryscheible/eval_v2_stsb/resolve/main/training_args.bin
- Command line
-
hf download hf://henryscheible/eval_v2_stsb/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/henryscheible/eval_v2_stsb/resolve/main/training_args.bin
3.38 kB
- Xet hash:
- ce23e0829bd63ad92d190abd8a6f4fece30cc6de9e2eedfc0edbdd42a627d817
- Size of remote file:
- 3.38 kB
- SHA256:
- ae63efdb43096a135e918cf8d15567168b6cc5cd0325121f690659c90b30ca39
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