Instructions to use rifkat/uztext-3Gb-BPE-Roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rifkat/uztext-3Gb-BPE-Roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="rifkat/uztext-3Gb-BPE-Roberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("rifkat/uztext-3Gb-BPE-Roberta") model = AutoModelForMaskedLM.from_pretrained("rifkat/uztext-3Gb-BPE-Roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from rifkat/uztext-3Gb-BPE-Roberta: direct link, hf CLI and curl.
- Browser
- Download file 334 MB
-
https://huggingface.co/rifkat/uztext-3Gb-BPE-Roberta/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://rifkat/uztext-3Gb-BPE-Roberta/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/rifkat/uztext-3Gb-BPE-Roberta/resolve/main/pytorch_model.bin
334 MB
- Xet hash:
- 5dc35cb7ec6ece88a5cf7d96993817eac0be51e6f255cdeec82cb55369266e45
- Size of remote file:
- 334 MB
- SHA256:
- c83266f60fe73c7d05a5ea51bc89bd06e3eb4737d5a546e4e4371175dc2046cc
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