Comments (4)
We could either use Hugging Face models or the official Google Translate API for translating the prompt
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The maintainer of googletrans
mentions here that the API might stop working-
You may wonder why this library works properly, whereas other approaches such like goslate wonβt work since Google has updated its translation service recently with a ticket mechanism to prevent a lot of crawler programs.
I eventually figure out a way to generate a ticket by reverse engineering on the obfuscated and minified code used by Google to generate such token, and implemented on the top of Python. However, this could be blocked at any time.
So feel free to suggest a new one, and keep the search on.
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Here are prices for Google Cloud Translate API: https://cloud.google.com/translate/pricing
It says that we have to pay after 500,000 free characters a month. Would this be enough, or should we use googletrans
as mentioned in the first comment?
from dalle-mini.
See also this effort: https://huggingface.slack.com/archives/C025LJDP962/p1627724095070700
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Related Issues (20)
- Why we use diffusion for prior model HOT 1
- CuDNN library mismatch when running docker
- How to retrain(fine-tuned) custom datasets HOT 2
- A Question on The Carbon Footprint Estimation. HOT 2
- import error in inference pipeline notebook HOT 4
- Notebook failures on Windows using Docker HOT 3
- TypeError: _get_logits_warper() got an unexpected keyword argument 'top_k' HOT 5
- XlaRuntimeError: INTERNAL: RET_CHECK failure
- Inference Notebook Does Not Work HOT 9
- Tag the source HOT 1
- What is the BACKEND_SERVER address?
- Numpy issue in encode_dataset notebook
- How do I train all the parameters
- optax error when installing on Windows HOT 4
- Preview!
- Incompatible jax or jaxlib version in tools/inference/inference_pipeline.ipynb HOT 7
- Access codebook in the code
- error: metadata-generation-failed HOT 1
- The script inference_pipeline.ipynb not work! ImportError: cannot import name 'partitioning' HOT 1
- error installing dalle-mini on macos and on python container HOT 6
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