Instructions to use Yunij/RobertaModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yunij/RobertaModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Yunij/RobertaModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Yunij/RobertaModel") model = AutoModelForSequenceClassification.from_pretrained("Yunij/RobertaModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Yunij/RobertaModel: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/Yunij/RobertaModel/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Yunij/RobertaModel/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Yunij/RobertaModel/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- d3bc5b1e788b271b4134ad1354383e1f381c391c11395a4068b3cc2edbcac4cb
- Size of remote file:
- 499 MB
- SHA256:
- 6d218111550e0db9e31e7925cfdb74f3ab2af28ddc6ed7df0bc2846cbbd361fd
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