Instructions to use 0x7o/roberta-base-value-determinator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 0x7o/roberta-base-value-determinator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="0x7o/roberta-base-value-determinator")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("0x7o/roberta-base-value-determinator") model = AutoModelForSequenceClassification.from_pretrained("0x7o/roberta-base-value-determinator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from 0x7o/roberta-base-value-determinator: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/0x7o/roberta-base-value-determinator/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://0x7o/roberta-base-value-determinator/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/0x7o/roberta-base-value-determinator/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 197cfa6f965d5e076b22f2e48b9c7b69231b2f2116b94728b878302228ac2865
- Size of remote file:
- 499 MB
- SHA256:
- da74566b206b18146d166290ac62a919374e47afc8d0d2a767e0fe181a433b34
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