Webimport torch model = torch.hub.load('huggingface/transformers', 'modelForCausalLM', 'gpt2') # Download model and configuration from huggingface.co and cache. model = torch.hub.load('huggingface/transformers', 'modelForCausalLM', './test/saved_model/') # E.g. model was saved using `save_pretrained ('./test/saved_model/')` model = … Webhuggingface_hub library helps you interact with the Hub without leaving your development environment. You can create and manage repositories easily, download and upload files, …
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Webpython -m pip install huggingface_hub Use the hf_hub_download function to download a file to a specific path. For example, the following command downloads the config.json file … Web1 nov. 2024 · HuggingSound: A toolkit for speech-related tasks based on HuggingFace's tools. I have no intention of building a very complex tool here. I just wanna have an easy-to-use toolkit for my speech-related experiments. I hope this library could be helpful for someone else too :) Requirements Python 3.7+ Installation $ pip install huggingsound camisa gola padre zara
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