Comments (2)
Hello @p4l3k1n6,
We would like to thank for the issue you reported and sorry for the late reply. We will solve the issue and update to the next release 0.1.1
soon,
For the current release thai2transformers==0.1.0
, the hotfix to the package conflicting issues is to install tokenizers separately with the following commend.
pip install thai2transformers==0.1.0 --no-deps
pip install torch>=1.5.0 \
transformers==3.5.0 \
sentencepiece==0.1.91 \
emoji pythainlp>=2.2.4 \
tqdm datasets>=1.2.1 \
sefr_cut \
seqeval \
pytorch-lightning \
pydantic \
jsonlines \
ssg==0.0.6 \
tokenizers==0.9.3 \
pandas
Updated (Wed 3 Feb 2021):
As of this moment you can install from thai2transformers==0.1.1
(a patch for package conflicting issue).
from thai2transformers.
Hi @artificiala,
I just came to say thank you, pip install thai2transformers==0.1.1
It works perfectly for me.
from thai2transformers.
Related Issues (20)
- Experiment on full set of `iapp_wiki_qa_squad` HOT 11
- Update all tokenizers to fast HOT 1
- Fix an issue where input tokens to the WangchanBERTa NER pipeline may be in the incorrect form
- Benchmark against AI4Thai
- Optimize for QA performance HOT 2
- New WangchanBERTa HOT 1
- Source data for LegalWangchanBERTa
- Explore percentage of repetitive characters in wisesight corpus
- Translate XNLI train from en to th with AIResearch NMT
- Consolidate Thai extractive question answering datasets HOT 1
- Translate and align SQuAD 1.1 and SQuAD 2.0
- Error บน wongnai_reviews HOT 3
- Refactor thai2transformers as utility package for transformers
- Broken URLs HOT 2
- Incorrect filename in ./scripts/downstream HOT 1
- Missing model_max_length in roberta config
- some markdown files are lost HOT 1
- Major, breaking refactoring to v1
- Wrong feature extraction in the WangchanBERTa Getting Start Notebook HOT 2
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