Instructions to use iproskurina/bebeshka with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iproskurina/bebeshka with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="iproskurina/bebeshka")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("iproskurina/bebeshka") model = AutoModelForMaskedLM.from_pretrained("iproskurina/bebeshka") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61956d7dd7718d59e08b02eec5ab9b30dc2e9c11b61615e4d4f633f4d39ef36d
- Size of remote file:
- 2.81 kB
- SHA256:
- 0a906c775a82d67f55ff8915113747067829f3abef615ce562115adf38db61cb
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