Instructions to use Ramavill/twBETO_v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ramavill/twBETO_v0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Ramavill/twBETO_v0")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Ramavill/twBETO_v0") model = AutoModelForMaskedLM.from_pretrained("Ramavill/twBETO_v0") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3 opened over 1 year ago
by
SFconvertbot
Adding `safetensors` variant of this model
#2 opened over 1 year ago
by
SFconvertbot
CUDA error: device-side assert triggered
#1 opened almost 4 years ago
by
erickdp