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Update app.py
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app.py
CHANGED
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@@ -71,18 +71,18 @@ splittet = False
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# inference client
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##############################################
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print ("Inf.Client")
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client = InferenceClient("https://ybdhvwle4ksrawzo.eu-west-1.aws.endpoints.huggingface.cloud")
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#client = InferenceClient(model="TheBloke/Yi-34B-Chat-GGUF")
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##############################################
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# tokenizer for generating prompt
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##############################################
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print ("Tokenizer")
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#tokenizer = AutoTokenizer.from_pretrained("TheBloke/Yi-34B-Chat-GGUF")
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#tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1")
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tokenizer = AutoTokenizer.from_pretrained("mistralai/Mixtral-8x7B-Instruct-v0.1")
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##############################################
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# Zum Testen:
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# inference client
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##############################################
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print ("Inf.Client")
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client = InferenceClient("https://api-inference.huggingface.co/models/meta-llama/Llama-2-70b-chat-hf")
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#client = InferenceClient("https://ybdhvwle4ksrawzo.eu-west-1.aws.endpoints.huggingface.cloud")
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#client = InferenceClient(model="TheBloke/Yi-34B-Chat-GGUF")
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##############################################
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# tokenizer for generating prompt
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##############################################
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print ("Tokenizer")
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tokenizer = AutoTokenizer.from_pretrained("meta-llama/Llama-2-70b-chat-hf")
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#tokenizer = AutoTokenizer.from_pretrained("TheBloke/Yi-34B-Chat-GGUF")
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#tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1")
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#tokenizer = AutoTokenizer.from_pretrained("mistralai/Mixtral-8x7B-Instruct-v0.1")
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##############################################
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# Zum Testen:
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