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 pytorch_model.bin from Fan-s/reddit-tc-bert: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/Fan-s/reddit-tc-bert/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://Fan-s/reddit-tc-bert@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Fan-s/reddit-tc-bert/resolve/refs%2Fpr%2F1/pytorch_model.bin
438 MB
- Xet hash:
- 13f7e5d08f68ac524c4c063528ed5a6ac09f05f1637a53fe776de64fef6cfaa3
- Size of remote file:
- 438 MB
- SHA256:
- 553e9d99fa1f1d5b833eafcb22e433acc606cc8ebbcb5e8b77c75121adc430a7
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