Instructions to use YanJiangJerry/sentiment-roberta-e6-b16-data2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YanJiangJerry/sentiment-roberta-e6-b16-data2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YanJiangJerry/sentiment-roberta-e6-b16-data2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("YanJiangJerry/sentiment-roberta-e6-b16-data2") model = AutoModelForSequenceClassification.from_pretrained("YanJiangJerry/sentiment-roberta-e6-b16-data2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from YanJiangJerry/sentiment-roberta-e6-b16-data2: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/YanJiangJerry/sentiment-roberta-e6-b16-data2/resolve/main/training_args.bin
- Command line
-
hf download hf://YanJiangJerry/sentiment-roberta-e6-b16-data2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/YanJiangJerry/sentiment-roberta-e6-b16-data2/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- d9268c00991152cd50a426d2e4ab441ed6c05067e2ceb3d3b9fdc93cac7de50a
- Size of remote file:
- 4.03 kB
- SHA256:
- 00a7789b5338039b309487602b2759fb34abe188de4e0dc6e42a603961f620d8
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