Instructions to use sungjunhan/nfeatures-01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sungjunhan/nfeatures-01 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sungjunhan/nfeatures-01") model = AutoModelForSeq2SeqLM.from_pretrained("sungjunhan/nfeatures-01", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from sungjunhan/nfeatures-01: direct link, hf CLI and curl.
- Browser
- Download file 16.4 MB
-
https://huggingface.co/sungjunhan/nfeatures-01/resolve/main/tokenizer.json
- Command line
-
hf download hf://sungjunhan/nfeatures-01/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/sungjunhan/nfeatures-01/resolve/main/tokenizer.json
16.4 MB
- Xet hash:
- a45b5d92fd97ccf92671056234f1f5c318203c4cc15bcc2ee107e827176bbc57
- Size of remote file:
- 16.4 MB
- SHA256:
- 18555ee7b7f6c2384c912102621444060876a862b992564dad97ca938c449f6e
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