If we try to load a CLIP model that has not been traced (and is saved as a state_dict), then this first tries to load it with `torch.jit.load(opened_file)` while will eventually raise a RuntimeError, which is then caught and handled and you re-try loading the model with `torch.load(opened_file)`. However, the file pointer, `opened_file` has been advanced by `torch.jit.load`, so this attempt fails with a `EOFError: Ran out of input` exception. To fix this, we simply need to reset the file pointer to the beginning of the file with `.fseek(0)` |
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| .. | ||
| __init__.py | ||
| bpe_simple_vocab_16e6.txt.gz | ||
| clip.py | ||
| model.py | ||
| simple_tokenizer.py | ||