Instructions to use junnyu/roformer_small_discriminator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use junnyu/roformer_small_discriminator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="junnyu/roformer_small_discriminator")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("junnyu/roformer_small_discriminator") model = AutoModelForMultimodalLM.from_pretrained("junnyu/roformer_small_discriminator") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d825e70cfb58ba3c24564656c527ef84530a48bf1d369bbb65e06496940f7ec
- Size of remote file:
- 53.8 MB
- SHA256:
- 3d848c4a3d23da7662d9dcc0bffcd6554b48a3d31e29816e6aca215904ef01f2
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