Instructions to use NazzX1/LED-note-modified with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NazzX1/LED-note-modified with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NazzX1/LED-note-modified") model = AutoModelForSeq2SeqLM.from_pretrained("NazzX1/LED-note-modified", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from NazzX1/LED-note-modified: direct link, hf CLI and curl.
- Browser
- Download file 67 Bytes
-
https://huggingface.co/NazzX1/LED-note-modified/resolve/main/added_tokens.json
- Command line
-
hf download hf://NazzX1/LED-note-modified/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/NazzX1/LED-note-modified/resolve/main/added_tokens.json
67 Bytes
| { | |
| "<A>": 50267, | |
| "<O>": 50266, | |
| "<P>": 50268, | |
| "<S>": 50265 | |
| } | |