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 training_args.bin from citiusLTL/immisoBETO: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/citiusLTL/immisoBETO/resolve/main/training_args.bin
- Command line
-
hf download hf://citiusLTL/immisoBETO/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/citiusLTL/immisoBETO/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- f1bfe871651675dbd541d702a68ab93737a1c3c89a43f60e61660293f2519bf2
- Size of remote file:
- 5.3 kB
- SHA256:
- 0b88623af3531b2bfe642323544554c650c256434fa3652dcb28740b744751e2
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