Fill-Mask
Transformers
Safetensors
Spanish
bert
BETO
beto
hate_speech
immigrant
misogyny
BERT
spanish
Instructions to use citiusLTL/immisoBETO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use citiusLTL/immisoBETO with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="citiusLTL/immisoBETO")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("citiusLTL/immisoBETO") model = AutoModelForMaskedLM.from_pretrained("citiusLTL/immisoBETO", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from citiusLTL/immisoBETO: direct link, hf CLI and curl.
- Browser
- Download file 735 kB
-
https://huggingface.co/citiusLTL/immisoBETO/resolve/main/tokenizer.json
- Command line
-
hf download hf://citiusLTL/immisoBETO/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/citiusLTL/immisoBETO/resolve/main/tokenizer.json
735 kB
File too large to display, you can check the raw version instead.