Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
English
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use JeremiahZ/roberta-base-stsb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JeremiahZ/roberta-base-stsb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JeremiahZ/roberta-base-stsb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JeremiahZ/roberta-base-stsb") model = AutoModelForSequenceClassification.from_pretrained("JeremiahZ/roberta-base-stsb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
Verified signatureThis is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.57e5b5a
-
update model card README.md
Jeremiah Zhoua74276c -
End of training
Jeremiah Zhouc0f41ca -
update model card README.md
Jeremiah Zhou5e560cb -
Model save
Jeremiah Zhou533c8d2 -
Training in progress, epoch 10
Jeremiah Zhou3702c59 -
Training in progress, epoch 6
Jeremiah Zhou37585e5 -
Training in progress, epoch 1
Jeremiah Zhou01629f8 -
initial commit
Jeremiah Zhoua4ea1fb