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 training_args.bin from 0x7o/roberta-base-value-determinator: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/0x7o/roberta-base-value-determinator/resolve/main/training_args.bin
- Command line
-
hf download hf://0x7o/roberta-base-value-determinator/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/0x7o/roberta-base-value-determinator/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- 292f596cb5256ed71be4d87a3902d1ed3949abfc047557ce8360188a77daf288
- Size of remote file:
- 3.58 kB
- SHA256:
- f819a771fb01821a0f4b4da1b5d15d555b52a595a02d63629fe2b42f5c58aef4
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