Comments (1)
Hi @repodiac it seems you are using the older scripts . python -m ulmfit lm
doesn't look like the new framework. You might want to try either run the current framework and see if the issue is solved there.
I think I've seen " 'ascii' codec can't encode characters" before, when loading tokenized datasets. The solution was to remove the cache files made by older fastai and recreate them. The new framework does this automatically.
Let me know if that helped.
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Related Issues (20)
- Different size of CLS unsupervised data between .csv and original .xml files HOT 1
- Multifit inference problem HOT 2
- Training custom classifier HOT 1
- Specifying a validation set HOT 1
- Problems with reproducing zero-shot learning results HOT 2
- Where can I find the dataset de.train.csv? HOT 3
- Kernel restarted HOT 1
- Saliency maps
- Tokenizer HOT 1
- Get activations of a specific layer of the multifit model
- Missing File in CLS-DE.ipynb HOT 1
- Always labels are tokenizing instead of text column, Kindly fix the issue facing HOT 1
- Download music/books data in german version
- OOM during finetuning
- File exists but it doesn't found it!!!!! HOT 1
- fp16
- Label_for_lm() takes too much time!
- multifit does'nt work on Google Colab HOT 4
- Port to Fastai 2 HOT 1
- Create classifier with fastai v1.0
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