Instructions to use YanJiangJerry/sentiment-bloom-large-e6-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YanJiangJerry/sentiment-bloom-large-e6-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YanJiangJerry/sentiment-bloom-large-e6-v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("YanJiangJerry/sentiment-bloom-large-e6-v2") model = AutoModelForSequenceClassification.from_pretrained("YanJiangJerry/sentiment-bloom-large-e6-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from YanJiangJerry/sentiment-bloom-large-e6-v2: direct link, hf CLI and curl.
- Browser
- Download file 14.5 MB
-
https://huggingface.co/YanJiangJerry/sentiment-bloom-large-e6-v2/resolve/main/tokenizer.json
- Command line
-
hf download hf://YanJiangJerry/sentiment-bloom-large-e6-v2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/YanJiangJerry/sentiment-bloom-large-e6-v2/resolve/main/tokenizer.json
14.5 MB
- Xet hash:
- 1b8f64e582e3119e4f880301941bba11d43d331cee2b3155ddbc84dbd1a152b1
- Size of remote file:
- 14.5 MB
- SHA256:
- 5d81d9b2c9d9db79ea02c00d4c7e79bb77a718dc57ab01f5f3b1cd6649f08993
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.