Fill-Mask
Transformers
Safetensors
deberta-v2
portuguese
financial
bert
deberta
nlp
masked-lm
Eval Results (legacy)
Instructions to use higopires/DeB3RTa-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use higopires/DeB3RTa-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="higopires/DeB3RTa-small")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("higopires/DeB3RTa-small") model = AutoModelForMaskedLM.from_pretrained("higopires/DeB3RTa-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from higopires/DeB3RTa-small: direct link, hf CLI and curl.
- Browser
- Download file 8.64 MB
-
https://huggingface.co/higopires/DeB3RTa-small/resolve/main/tokenizer.json
- Command line
-
hf download hf://higopires/DeB3RTa-small/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/higopires/DeB3RTa-small/resolve/main/tokenizer.json
8.64 MB
File too large to display, you can check the raw version instead.