Full Tutorial to Create a Dataset, a Fine-Tuned Model, and Push to Hugging Face

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This video is hands on step-by-step tutorial to create a new dataset, an AI model, fine-tune the model on dataset and then push it to hugging face.

#unsloth #trl #huggingface #gemma7b #urdu #hindi #urdumodel #hindimodel

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Thank you for such an informative tutorial. Could you pls. refer some books on fine tuning.

souvikchandra
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Can you teach how to train the model with my annotations pdf so that i can extract the data from the pdf test

nithishkrish
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brother can you show how to fine tune command r plus it would be really helpful

Cine
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I have a doubt, can i use this method to make it generate Q and A in hindi?like i am using mistral 7 v0.2 if i finetune it on a large corpus which contains english and its translation in hindi will it be able to generate the answer in hindi to the generic questions i ask?

byron-ihge
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now can we deploy this model on AWS sagemaker from hugging face hub ?

bornclasher
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Hey Fahd,
The video you made was amazing however, I am still getting stuck when i try to train my model on a custom dataset.
Is there any way that you can properly guide me on how to do it since i am short on time for my submission.
Many Thanks

SaraKhan-bwtc
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Nice video. Perhaps you should remove your hf_token from the code you shared

vinven
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instated of pushing to my personal profile how do I push to organization?

user_matrix
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how do you push a model with a specific checkpoint?

taoofstefan
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urdu is nt national language of India.. India doesnt have 1...in North its called hindi..

rastapopolous
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There is no national language for india

Abilaashrajesh