Instructions to use boronbrown48/sentiment_neutral_from_other_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use boronbrown48/sentiment_neutral_from_other_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="boronbrown48/sentiment_neutral_from_other_v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("boronbrown48/sentiment_neutral_from_other_v2") model = AutoModelForSequenceClassification.from_pretrained("boronbrown48/sentiment_neutral_from_other_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from boronbrown48/sentiment_neutral_from_other_v2: direct link, hf CLI and curl.
- Browser
- Download file 2.8 kB
-
https://huggingface.co/boronbrown48/sentiment_neutral_from_other_v2/resolve/main/training_args.bin
- Command line
-
hf download hf://boronbrown48/sentiment_neutral_from_other_v2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/boronbrown48/sentiment_neutral_from_other_v2/resolve/main/training_args.bin
2.8 kB
- Xet hash:
- ca4082177c3e17b0abc359818abe87ff5a5340c4a19f4a0d823e6ecfffceb7d0
- Size of remote file:
- 2.8 kB
- SHA256:
- 1790097a4ea30dc4ce18dab31b9ff73a6aad41f2c22c3ea5fc56610c3c4f97af
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