Instructions to use allegro/herbert-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allegro/herbert-base-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="allegro/herbert-base-cased")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("allegro/herbert-base-cased") model = AutoModel.from_pretrained("allegro/herbert-base-cased", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c1d84a637f8ddb5956d73e653202f2e553b59eef873160668b2d1134dd38fe6
- Size of remote file:
- 654 MB
- SHA256:
- d205995436644f5974156fad33ef9dd55d98bb7484918baa65e0fb62b6964a29
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