Instructions to use Peterard/user_feedback_pretrained_reddit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Peterard/user_feedback_pretrained_reddit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Peterard/user_feedback_pretrained_reddit")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Peterard/user_feedback_pretrained_reddit") model = AutoModel.from_pretrained("Peterard/user_feedback_pretrained_reddit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Peterard/user_feedback_pretrained_reddit: direct link, hf CLI and curl.
- Browser
- Download file 134 MB
-
https://huggingface.co/Peterard/user_feedback_pretrained_reddit/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Peterard/user_feedback_pretrained_reddit/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Peterard/user_feedback_pretrained_reddit/resolve/main/pytorch_model.bin
134 MB
- Xet hash:
- d046a90242a253138650f05e76a574f8e03c270ad2b58f655695c9294a836bde
- Size of remote file:
- 134 MB
- SHA256:
- d7ed46eb8c9b3bdd3ed1b1b7b1f0d1eedd2843e793da66e50507bd4a25b12a7b
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