Instructions to use Rustem/roberta-large-copy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rustem/roberta-large-copy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Rustem/roberta-large-copy")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Rustem/roberta-large-copy") model = AutoModelForMaskedLM.from_pretrained("Rustem/roberta-large-copy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from Rustem/roberta-large-copy: direct link, hf CLI and curl.
- Browser
- Download file 135 Bytes
-
https://huggingface.co/Rustem/roberta-large-copy/resolve/main/tf_model.h5
- Command line
-
hf download hf://Rustem/roberta-large-copy/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/Rustem/roberta-large-copy/resolve/main/tf_model.h5
135 Bytes
- Xet hash:
- 5a799bc401d20a3f9a551f78ccd8dcd6002e8266e0c294fb67aa209087f284be
- Size of remote file:
- 135 Bytes
- SHA256:
- 6a1590bbb2ece3e40c839f6fb207e55d1598191238bd2e76da6698a9c52dbd44
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