Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use ManojAlexender/Roberta-base-Rewritten-commit_messages_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ManojAlexender/Roberta-base-Rewritten-commit_messages_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ManojAlexender/Roberta-base-Rewritten-commit_messages_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ManojAlexender/Roberta-base-Rewritten-commit_messages_v2") model = AutoModelForSequenceClassification.from_pretrained("ManojAlexender/Roberta-base-Rewritten-commit_messages_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dba6f85b6d0f5994b7cf0d54d665fd4aebb2df234186065b7b195207236b4d12
- Size of remote file:
- 499 MB
- SHA256:
- 8d7ae6578e75e98c5afffc92b743ebfbf9f3dd9cf2881eff6d34b80423d678f8
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