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Tonic's GOT OCR
GOT - OCR (from : UCAS, Beijing)
MAYANK CHAUDHARY
mynkchaudhry
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💎 I created some shiny new Argilla datasets to go along with the 2.0 release!
```python
import argilla as rg
ds = rg.Dataset.from_hub(
"argilla/multi-modal-vlm-visit-bench"
)
```
https://huggingface.co/collections/argilla/argilla-v20-compatible-datasets-66a8e670f351acac61a0421c
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#1 opened about 1 month ago
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mynkchaudhry
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💎 I created some shiny new Argilla datasets to go along with the 2.0 release!
argilla/argilla-v20-compatible-datasets-66a8e670f351acac61a0421c
import argilla as rg
ds = rg.Dataset.from_hub(
"argilla/multi-modal-vlm-visit-bench"
)argilla/argilla-v20-compatible-datasets-66a8e670f351acac61a0421c
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Were you aware that we have a dedicated guide on different prompting mechanisms to improve the image generation quality? 🧨
Takes you through simple prompt engineering, prompt weighting, prompt enhancement using GPT-2, and more.
Check out the guide here 🦯
https://huggingface.co/docs/diffusers/main/en/using-diffusers/weighted_prompts
Takes you through simple prompt engineering, prompt weighting, prompt enhancement using GPT-2, and more.
Check out the guide here 🦯
https://huggingface.co/docs/diffusers/main/en/using-diffusers/weighted_prompts
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#1 opened 6 months ago
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Naruto
#788 opened 8 months ago
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