No way to load SequenceTagger

Hi @shivam

Thank you very much for your workaround of the problem!
Your example notebook works fine on colab.

Best regards!

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No way to load SequenceTagger

Hi @shivam. Thank you for your reply!
Indeed after realising that SuperPeitho-FLAIR-v2/final-model.pt is not hosted on HF I cloned the git repo, downloaded the lfs .pt file, installed flair framework and tried to load it locally:
tagger = SequenceTagger.load(’/content/ag/SuperPeitho-FLAIR-v2/final-model.pt’)
I don’t have GPU resources, so i work on CoLab. From error logs :
‘…tokenizer_config = get_tokenizer_config(pretrained_model_name_or_path, **kwargs)’
it is seen that the tagger tries to load some configs which don’t exist in final-model.pt
Although the author claims that it is a pre-trained POS Tagging model with FLAIR framework, aparently the config files are not included in it.
It would be great if we could use FLAIR framework, which has powerful NER functions for morphological analysis.

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No way to load SequenceTagger

As it was proposed by Using Ancient Greek Notebook.
tagger = SequenceTagger.load(‘SuperPeitho-FLAIR-v2/final-model.pt’)
leads to
HTTPError: 401 Client Error: Unauthorized for url:

https://huggingface.co/SuperPeitho-FLAIR-v2/final-model.pt/resolve/main/pytorch_model.bin

Neither it is possible to load it from locally lfs downloaded final-model.pt

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Clarification about Google cloud credits

I have received and redeemed the promotion code.
Thank you.

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Clarification about Google cloud credits

Could you please clarify when and in which order we will receive the Google Cloud Credits.
I am ranked at top 10 but still have not received anything.

Regards

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