Instructions to use aXhyra/sentiment_temp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aXhyra/sentiment_temp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aXhyra/sentiment_temp")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aXhyra/sentiment_temp") model = AutoModelForSequenceClassification.from_pretrained("aXhyra/sentiment_temp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from aXhyra/sentiment_temp: direct link, hf CLI and curl.
- Browser
- Download file 2.86 kB
-
https://huggingface.co/aXhyra/sentiment_temp/resolve/main/training_args.bin
- Command line
-
hf download hf://aXhyra/sentiment_temp/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/aXhyra/sentiment_temp/resolve/main/training_args.bin
2.86 kB
- Xet hash:
- 1692fbf6181c71f70650e8595949c61f109664e11b5e451e6098a16ef6da646e
- Size of remote file:
- 2.86 kB
- SHA256:
- b9f5df130b7c2a2d2a8890d6d92b2d619df89e69f4bc27451999feb2a65cef17
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