Instructions to use flax-community/robit-roberta-base-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flax-community/robit-roberta-base-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="flax-community/robit-roberta-base-it")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("flax-community/robit-roberta-base-it") model = AutoModelForMaskedLM.from_pretrained("flax-community/robit-roberta-base-it") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce22a90079339123e2e2dd9c81458e850eded7ae1339cce4e25fe1c8af4dfdcd
- Size of remote file:
- 499 MB
- SHA256:
- 0d92f1f03b79ea84058cb6f64fff37fbe001120f4298a545bafb682ab3f47815
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