Instructions to use dccuchile/bert-base-spanish-wwm-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dccuchile/bert-base-spanish-wwm-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dccuchile/bert-base-spanish-wwm-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dccuchile/bert-base-spanish-wwm-uncased") model = AutoModelForMaskedLM.from_pretrained("dccuchile/bert-base-spanish-wwm-uncased", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commercial use and redistribution of BETO Spanish tokenizer files without model weights
#6 opened 4 days ago
by
peanroma
Multilingual powerhouse — testing for mobile deployment
#5 opened 3 months ago
by
3morixd
TemporalMesh Transformer: 29.4 PPL at 48% compute — beats Mamba, new open-source architecture
#4 opened 4 months ago
by
vigneshwar234
Adding `safetensors` variant of this model
#3 opened over 1 year ago
by
SFconvertbot
Adding `safetensors` variant of this model
#2 opened over 2 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#1 opened over 3 years ago
by
SFconvertbot