Instructions to use deepmind/language-perceiver with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepmind/language-perceiver with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="deepmind/language-perceiver")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("deepmind/language-perceiver") model = AutoModelForMaskedLM.from_pretrained("deepmind/language-perceiver", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#2)
Verified signature- Adding `safetensors` variant of this model (e3b69702a29a2e6e5ce9d82ef8fd423b7465f2b7) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>47a1ba4
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Add language tag (#1)
- Add language tag (d0fedaa61c8ca9927e270f25f990a667e3dae1f9) Co-authored-by: Loïck BOURDOIS <lbourdois@users.noreply.huggingface.co>255f5db
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