Instructions to use Zadid13/bloom-finetuned-sentiment140 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zadid13/bloom-finetuned-sentiment140 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Zadid13/bloom-finetuned-sentiment140", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Zadid13/bloom-finetuned-sentiment140: direct link, hf CLI and curl.
- Browser
- Download file 21.8 MB
-
https://huggingface.co/Zadid13/bloom-finetuned-sentiment140/resolve/main/tokenizer.json
- Command line
-
hf download hf://Zadid13/bloom-finetuned-sentiment140/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Zadid13/bloom-finetuned-sentiment140/resolve/main/tokenizer.json
21.8 MB
- Xet hash:
- 930e60e589eed6957903c723e305edffe48febb23672c52572e9b3c643f345ce
- Size of remote file:
- 21.8 MB
- SHA256:
- d963066d6adae5034a1dc114c3ac444512de09928cf14ed4562ba94d9a440e66
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