Instructions to use HiTZ/BERnaT-Standard-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HiTZ/BERnaT-Standard-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HiTZ/BERnaT-Standard-medium")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("HiTZ/BERnaT-Standard-medium") model = AutoModelForMaskedLM.from_pretrained("HiTZ/BERnaT-Standard-medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 14f682d00932e4156fe16ac32abb20517f724c12a23d018e64d2dbeb8a2d3b2c
- Size of remote file:
- 206 MB
- SHA256:
- 9f50ed36a8699990281b75a33f61ace33cfea3fe4eb2ec1927cf37c612773299
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