Instructions to use filevich/robertita-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use filevich/robertita-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="filevich/robertita-cased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("filevich/robertita-cased") model = AutoModelForMaskedLM.from_pretrained("filevich/robertita-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download trainer_state.json from filevich/robertita-cased: direct link, hf CLI and curl.
- Browser
- Download file 1.58 MB
-
https://huggingface.co/filevich/robertita-cased/resolve/main/trainer_state.json
- Command line
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hf download hf://filevich/robertita-cased/trainer_state.json
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curl -L -o trainer_state.json https://huggingface.co/filevich/robertita-cased/resolve/main/trainer_state.json
1.58 MB
File too large to display, you can check the raw version instead.