Instructions to use zq2186/model_da with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zq2186/model_da with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zq2186/model_da")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("zq2186/model_da") model = AutoModelForSequenceClassification.from_pretrained("zq2186/model_da", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75f6316ee070e2a0c730b253bb806720994930454eb7fc54d0dc8cd9090a8795
- Size of remote file:
- 268 MB
- SHA256:
- 550f3996cd03dac774abb70b3dbe28a1a3d87d5327506878e49f2c5edeb71c07
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