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Cannot import name 'cached_download' from 'huggingface_hub' asked 10 months ago modified 9 months ago viewed 24k times The data under data is all parquet files. How about using hf_hub_download from huggingface_hub library
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Hf_hub_download returns the local path where the model was downloaded so you could hook this one liner with another shell command. How can i do that? I have request the access to the huggingface repository, and got access, confirmed on the huggingface webapp dashboard
9 in the tokenizer documentation from huggingface, the call fuction accepts list [list [str]] and says
Text (str, list [str], list [list [str]], optional) — the sequence or batch of sequences to be encoded Each sequence can be a string or a list of strings (pretokenized string). Given a transformer model on huggingface, how do i find the maximum input sequence length For example, here i want to truncate to the max_length of the model
Access the huggingface.co certificate by clicking on the icon beside the web address in your browser (screenshot below) > 'connection is secure' > certificate is valid (click show certificate). Huggingface.co now has a bad ssl certificate, your lib internally tries to verify it and fails By adding the env variable, you basically disabled the ssl verification. Huggingface includes a caching mechanism
Whenever you load a model, a tokenizer, or a dataset, the files are downloaded and kept in a local cache for further utilization.
The default cache directory lacks disk capacity, i need to change the configuration of the default cache directory
