Feature Extraction
Transformers
PyTorch
Russian
Erzya
bert
pretraining
erzya
mordovian
fill-mask
embeddings
masked-lm
sentence-similarity
text-embeddings-inference
Instructions to use slone/LaBSE-en-ru-myv-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use slone/LaBSE-en-ru-myv-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="slone/LaBSE-en-ru-myv-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("slone/LaBSE-en-ru-myv-v2") model = AutoModelForPreTraining.from_pretrained("slone/LaBSE-en-ru-myv-v2") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot