Instructions to use hanzceo/JOSS-dev2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hanzceo/JOSS-dev2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hanzceo/JOSS-dev2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hanzceo/JOSS-dev2") model = AutoModelForSequenceClassification.from_pretrained("hanzceo/JOSS-dev2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a56770c573f13c024670a7318048e2a530937238df1e51c5f41030c02cc0b12c
- Size of remote file:
- 299 MB
- SHA256:
- c35aff37b015808f3a828a7a22382624bbae26632bb432b9cc10c4cc1aa7f162
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