Fill-Mask
Transformers
Safetensors
Sindhi
avey-b
sindhi
masked-language-modeling
encoder
custom_code
Eval Results (legacy)
Instructions to use SndOpenResearch/avey-b-snd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SndOpenResearch/avey-b-snd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="SndOpenResearch/avey-b-snd", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("SndOpenResearch/avey-b-snd", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from SndOpenResearch/avey-b-snd: direct link, hf CLI and curl.
- Browser
- Download file 817 kB
-
https://huggingface.co/SndOpenResearch/avey-b-snd/resolve/main/tokenizer.json
- Command line
-
hf download hf://SndOpenResearch/avey-b-snd/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/SndOpenResearch/avey-b-snd/resolve/main/tokenizer.json
817 kB
File too large to display, you can check the raw version instead.