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pick fe6ac59 initial commit
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pick 7cfe572 Add application file
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pick 741ded9 Add application file
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# Rebase 9419c38 onto d215d22 (10 commands)
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#
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# Commands:
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# p, pick <commit> = use commit
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# r, reword <commit> = use commit, but edit the commit message
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# e, edit <commit> = use commit, but stop for amending
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# s, squash <commit> = use commit, but meld into previous commit
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# f, fixup [-C | -c] <commit> = like "squash" but keep only the previous
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# commit's log message, unless -C is used, in which case
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# keep only this commit's message; -c is same as -C but
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# opens the editor
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# x, exec <command> = run command (the rest of the line) using shell
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# b, break = stop here (continue rebase later with 'git rebase --continue')
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# d, drop <commit> = remove commit
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# l, label <label> = label current HEAD with a name
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# t, reset <label> = reset HEAD to a label
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# m, merge [-C <commit> | -c <commit>] <label> [# <oneline>]
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# create a merge commit using the original merge commit's
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# message (or the oneline, if no original merge commit was
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# specified); use -c <commit> to reword the commit message
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# u, update-ref <ref> = track a placeholder for the <ref> to be updated
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# to this position in the new commits. The <ref> is
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# updated at the end of the rebase
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#
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# These lines can be re-ordered; they are executed from top to bottom.
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#
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# If you remove a line here THAT COMMIT WILL BE LOST.
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#
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# However, if you remove everything, the rebase will be aborted.
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#
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app.py
CHANGED
@@ -7,7 +7,7 @@ import os
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load_dotenv()
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# Accéder à une variable d'environnement
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access_token = os.getenv('
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# Load model directly
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tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-Nemo-Instruct-2407",token=access_token)
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model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-Nemo-Instruct-2407",token=access_token)
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load_dotenv()
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# Accéder à une variable d'environnement
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access_token = os.getenv('MODEL_REPO_ID')
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# Load model directly
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tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-Nemo-Instruct-2407",token=access_token)
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model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-Nemo-Instruct-2407",token=access_token)
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