Instructions to use guidoivetta/bert-base-spanish-wwm-cased-finetuned-wine-reviews_spanish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use guidoivetta/bert-base-spanish-wwm-cased-finetuned-wine-reviews_spanish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="guidoivetta/bert-base-spanish-wwm-cased-finetuned-wine-reviews_spanish")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("guidoivetta/bert-base-spanish-wwm-cased-finetuned-wine-reviews_spanish") model = AutoModelForMaskedLM.from_pretrained("guidoivetta/bert-base-spanish-wwm-cased-finetuned-wine-reviews_spanish", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot