Instructions to use pln-udelar/rouberta-base-uy22-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pln-udelar/rouberta-base-uy22-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pln-udelar/rouberta-base-uy22-cased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pln-udelar/rouberta-base-uy22-cased") model = AutoModelForMaskedLM.from_pretrained("pln-udelar/rouberta-base-uy22-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from pln-udelar/rouberta-base-uy22-cased: direct link, hf CLI and curl.
- Browser
- Download file 3.71 kB
-
https://huggingface.co/pln-udelar/rouberta-base-uy22-cased/resolve/main/training_args.bin
- Command line
-
hf download hf://pln-udelar/rouberta-base-uy22-cased/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/pln-udelar/rouberta-base-uy22-cased/resolve/main/training_args.bin
3.71 kB
- Xet hash:
- 0bd0989dd48362726558d24a0f2622fb192acf3516286e167f1aa19fb7e3e295
- Size of remote file:
- 3.71 kB
- SHA256:
- d487a0551bf854cb27a772e9ce52d646b909425f98f558366697870f2581839e
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