Instructions to use hanzceo/JOSS-dev3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hanzceo/JOSS-dev3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hanzceo/JOSS-dev3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hanzceo/JOSS-dev3") model = AutoModelForSequenceClassification.from_pretrained("hanzceo/JOSS-dev3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from hanzceo/JOSS-dev3: direct link, hf CLI and curl.
- Browser
- Download file 3.58 MB
-
https://huggingface.co/hanzceo/JOSS-dev3/resolve/main/tokenizer.json
- Command line
-
hf download hf://hanzceo/JOSS-dev3/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/hanzceo/JOSS-dev3/resolve/main/tokenizer.json
3.58 MB
File too large to display, you can check the raw version instead.