Instructions to use gustavecortal/roberta-reman-tec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gustavecortal/roberta-reman-tec with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gustavecortal/roberta-reman-tec")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gustavecortal/roberta-reman-tec") model = AutoModelForSequenceClassification.from_pretrained("gustavecortal/roberta-reman-tec", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from gustavecortal/roberta-reman-tec: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/gustavecortal/roberta-reman-tec/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://gustavecortal/roberta-reman-tec/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/gustavecortal/roberta-reman-tec/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 6ad6ce4833af05317228543961f9b09fb5a9ca1f476a5a7f9dc32766e6fcdc99
- Size of remote file:
- 499 MB
- SHA256:
- 77f147af3d735dc2e030d3bd7c61f5cb947a10a842fbc2dd6b9f8abf9ce53658
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