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Explore_llamav2_with_TGI

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😃: how to used this can you continue the code "# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="meta-llama/Llama-2-70b-chat-hf")"
🤖: Sure, I can help you with that!

The code you provided is a good start, but it needs a bit more information to work properly. Here's a revised version that should help you get started with using the pipeline for text generation:

# Use a pipeline as a high-level helper
from transformers import pipeline

# Define the model and tokenizer
model = "meta-llama/Llama-2-70b-chat-hf"
tokenizer = pipeline.get_tokenizer(model)

# Define the pipeline
pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)

# Generate text
generated_text = pipe("input text")

# Print the generated text
print(generated_text)

In this revised code, we first import the pipeline module from the transformers library. We then define the model and tokenizer that we want to use for text generation.

Next, we define the pipeline itself, passing in the model and tokenizer objects as arguments. Finally, we call the pipe() method on the pipeline object,