Instructions to use Yk8746/basemodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yk8746/basemodel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Yk8746/basemodel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Yk8746/basemodel") model = AutoModelForSeq2SeqLM.from_pretrained("Yk8746/basemodel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Yk8746/basemodel: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/Yk8746/basemodel/resolve/main/tokenizer.json
- Command line
-
hf download hf://Yk8746/basemodel/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Yk8746/basemodel/resolve/main/tokenizer.json
2.42 MB
File too large to display, you can check the raw version instead.