falcon-7b-qlora-chat-FDA_Pharmaceuticals_FAQ

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Model Details

Model Description

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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

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• Model type: Text Generation (NLP)
• Language(s) (NLP): English
• License: [More Information Needed]
• Finetuned from model [optional]: falcon-7b

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Uses

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Direct Use

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Recommendations

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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with text generation:

from transformers import pipeline

generator = pipeline("text-generation", model="Amitgm/falcon-7b-qlora-chat-FDA_Pharmaceuticals_FAQ")
prompt = "<human>: What medicines should I take for thyroid?"
response = generator(prompt)
print(response[0]["generated_text"])

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## Training Details

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#### Training Hyperparameters

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## Evaluation

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## Environmental Impact

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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

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## Technical Specifications [optional]

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