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:
- 1dfb64594ee20f6224f137db7ee37fa13284363ad0457f02af1c2a859a3e00ec
- Size of remote file:
- 3.06 kB
- SHA256:
- 0cbf3fbf22b953462028dc460f60a29ded6d563df5ae1697757b81a15916529d
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