Instructions to use amankhandelia/panini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amankhandelia/panini with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="amankhandelia/panini")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("amankhandelia/panini") model = AutoModelForMaskedLM.from_pretrained("amankhandelia/panini", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Convert latest model to PyTorch
Browse files- flax_to_torch.py +1 -1
- pytorch_model.bin +2 -2
flax_to_torch.py
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@@ -14,7 +14,7 @@ def convert_flax_model_to_torch(flax_model_path: str, torch_model_path: str = ".
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="Flax to Pytorch model coversion")
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parser.add_argument(
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"--flax_model_path", type=str, default="flax-community/roberta-
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)
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parser.add_argument("--torch_model_path", type=str, default="./", help="PyTorch model path")
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="Flax to Pytorch model coversion")
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parser.add_argument(
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"--flax_model_path", type=str, default="flax-community/roberta-hindi", help="Flax model path"
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)
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parser.add_argument("--torch_model_path", type=str, default="./", help="PyTorch model path")
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pytorch_model.bin
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:6a12ed7389606b65846e3445153a010efbada4755ea9fbb1f558b347efcdfc57
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size 498872747
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