Instructions to use tzoght/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tzoght/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="tzoght/dummy-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("tzoght/dummy-model") model = AutoModelForMaskedLM.from_pretrained("tzoght/dummy-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (a338f208686a5f1d4eb03a90dc31d8395924472c) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>7d8f873 -
Upload tokenizer
e010af5 -
Upload CamembertForMaskedLM
d381ca4 -
initial commit
e1f60c1