Instructions to use claudiaMartinez1982/bert-base-spanish-wwm-cased_bs32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use claudiaMartinez1982/bert-base-spanish-wwm-cased_bs32 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="claudiaMartinez1982/bert-base-spanish-wwm-cased_bs32")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("claudiaMartinez1982/bert-base-spanish-wwm-cased_bs32") model = AutoModelForTokenClassification.from_pretrained("claudiaMartinez1982/bert-base-spanish-wwm-cased_bs32", device_map="auto") - Notebooks
- Google Colab
- Kaggle
claudiaMartinez1982/bert-base-spanish-wwm-cased_bs32
Browse files- model.safetensors +1 -1
- training_args.bin +1 -1
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