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:
- 4160db5cd6ef7ab008b7f58dc499639f649e9cf2648c69e9c2be1ed60e08b5d0
- Size of remote file:
- 32.9 MB
- SHA256:
- 65d9056f9c099cf5d11b1c985639e15bd4487d143cfc357eb95267c9e88f2759
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