Instructions to use Fan-s/reddit-tc-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fan-s/reddit-tc-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Fan-s/reddit-tc-bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Fan-s/reddit-tc-bert") model = AutoModelForSequenceClassification.from_pretrained("Fan-s/reddit-tc-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Fan-s/reddit-tc-bert: direct link, hf CLI and curl.
- Browser
- Download file 2.99 kB
-
https://huggingface.co/Fan-s/reddit-tc-bert/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://Fan-s/reddit-tc-bert@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Fan-s/reddit-tc-bert/resolve/refs%2Fpr%2F1/training_args.bin
2.99 kB
- Xet hash:
- 6fd6d30aa53f2f58053ca858c1b8e76afcbbd3d35ecf6093c4d843eca5f4ff4f
- Size of remote file:
- 2.99 kB
- SHA256:
- 0c3cb585aaf5d7cff64bb55ee17a1c0393385d0f735a5b5a50c438ee2c5c9e51
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