Instructions to use classla/xlm-r-parla with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use classla/xlm-r-parla with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="classla/xlm-r-parla")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("classla/xlm-r-parla") model = AutoModelForMaskedLM.from_pretrained("classla/xlm-r-parla", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload rng_state_3.pth with huggingface_hub
Browse files- rng_state_3.pth +3 -0
rng_state_3.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:d4e3321d556c3b7ed9ae05df21bb0b7fc2f5327ae5a74e99f54dd620cb907c5d
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size 13623
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