Instructions to use StopFuture/future_punct_retrain_2ep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StopFuture/future_punct_retrain_2ep with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("StopFuture/future_punct_retrain_2ep") model = AutoModelForSeq2SeqLM.from_pretrained("StopFuture/future_punct_retrain_2ep", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from StopFuture/future_punct_retrain_2ep: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/StopFuture/future_punct_retrain_2ep/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://StopFuture/future_punct_retrain_2ep@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/StopFuture/future_punct_retrain_2ep/resolve/refs%2Fpr%2F1/tokenizer.json
17.1 MB
- Xet hash:
- dfe9becbfb2c059244df37c6377065729d7ba757db853d2c7ee6f995a1b55e2a
- Size of remote file:
- 17.1 MB
- SHA256:
- db8395c735578906e04010743e45c8c9825f35b51f4940f75f9ac1cc8684aee1
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