Instructions to use Rustem/roberta-base-best with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rustem/roberta-base-best with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Rustem/roberta-base-best")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Rustem/roberta-base-best") model = AutoModelForSequenceClassification.from_pretrained("Rustem/roberta-base-best", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Rustem/roberta-base-best: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/Rustem/roberta-base-best/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Rustem/roberta-base-best/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Rustem/roberta-base-best/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 2b0ba67682ef849eb51ef237afca49dfaea9ea90f1a52c9f193d8239b474250b
- Size of remote file:
- 499 MB
- SHA256:
- 85680e166b89d97837fe2748c31d3cddc74e67e78ea55a3a40aec7f34534bb03
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