fixe

()

@@ -0,0 +1,41 @@
+pick fe6ac59 initial commit
+pick 7cfe572 Add application file
+pick 741ded9 Add application file
+
+
+
+
+
+
+
+
+# Rebase 9419c38 onto d215d22 (10 commands)
+#
+# Commands:
+# p, pick <commit> = use commit
+# r, reword <commit> = use commit, but edit the commit message
+# e, edit <commit> = use commit, but stop for amending
+# s, squash <commit> = use commit, but meld into previous commit
+# f, fixup [-C | -c] <commit> = like "squash" but keep only the previous
+#                    commit's log message, unless -C is used, in which case
+#                    keep only this commit's message; -c is same as -C but
+#                    opens the editor
+# x, exec <command> = run command (the rest of the line) using shell
+# b, break = stop here (continue rebase later with 'git rebase --continue')
+# d, drop <commit> = remove commit
+# l, label <label> = label current HEAD with a name
+# t, reset <label> = reset HEAD to a label
+# m, merge [-C <commit> | -c <commit>] <label> [# <oneline>]
+#         create a merge commit using the original merge commit's
+#         message (or the oneline, if no original merge commit was
+#         specified); use -c <commit> to reword the commit message
+# u, update-ref <ref> = track a placeholder for the <ref> to be updated
+#                       to this position in the new commits. The <ref> is
+#                       updated at the end of the rebase
+#
+# These lines can be re-ordered; they are executed from top to bottom.
+#
+# If you remove a line here THAT COMMIT WILL BE LOST.
+#
+# However, if you remove everything, the rebase will be aborted.
+#

app.py

@@ -2,10 +2,9 @@ import gradio as gr
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
 # Configuration du modèle et du tokenizer
-access_token ="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"
 # Load model directly
-tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-Nemo-Instruct-2407",token=access_token)
-model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-Nemo-Instruct-2407",token=access_token)
+tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-Nemo-Instruct-2407")
+model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-Nemo-Instruct-2407")
 
 
 default_prompt = """Bonjour,

requirements.txt

@@ -0,0 +1 @@
+transformers==4.44.1