Instructions to use YanJiangJerry/sentiment-roberta-e2-b16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YanJiangJerry/sentiment-roberta-e2-b16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YanJiangJerry/sentiment-roberta-e2-b16")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("YanJiangJerry/sentiment-roberta-e2-b16") model = AutoModelForSequenceClassification.from_pretrained("YanJiangJerry/sentiment-roberta-e2-b16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from YanJiangJerry/sentiment-roberta-e2-b16: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/YanJiangJerry/sentiment-roberta-e2-b16/resolve/main/training_args.bin
- Command line
-
hf download hf://YanJiangJerry/sentiment-roberta-e2-b16/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/YanJiangJerry/sentiment-roberta-e2-b16/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- 59bb37f81f3234c67716facbbb144e4ca1411eeae2182ac9f67d0fed75af723f
- Size of remote file:
- 4.03 kB
- SHA256:
- 19cacf3afa93419b1064dc4bde7d5f672adc09f6f24171a290bb1b55b30e5b57
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