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---
tags:
- autotrain
- text-generation-inference
- text-generation
- peft
library_name: transformers
widget:
- messages:
- role: user
content: What is your favorite condiment?
license: other
---
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
Dataset used: tatsu-lab/alpaca
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "kr-manish/Mistral-7B-autotrain-finetune-QA-vx"
tokenizer = AutoTokenizer.from_pretrained(model_path)
model = AutoModelForCausalLM.from_pretrained(model_path)
input_text = "What is the scientific name of the honey bee?"
# Tokenize input text
input_ids = tokenizer.encode(input_text, return_tensors="pt")
# Generate output text
output = model.generate(input_ids, max_length=100, num_return_sequences=1, do_sample=True)
# Decode and print output
generated_text = tokenizer.decode(output[0], skip_special_tokens=True)
print(generated_text)
#Apis mellifera.
```
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "kr-manish/Mistral-7B-autotrain-finetune-QA-vx"
tokenizer = AutoTokenizer.from_pretrained(model_path)
model = AutoModelForCausalLM.from_pretrained(model_path)
# Generate response
input_text = "Give three tips for staying healthy."
input_ids = tokenizer.encode(input_text, return_tensors="pt")
output = model.generate(input_ids, max_new_tokens = 200)
predicted_text = tokenizer.decode(output[0], skip_special_tokens=True)
print(predicted_text)
#Give three tips for staying healthy. [/INST] 1. Eat a balanced diet: Make sure to include plenty of fruits, vegetables, lean proteins, and whole grains in your diet. Avoid processed foods and sugary drinks.
#2. Exercise regularly: Aim for at least 30 minutes of moderate exercise every day, such as walking, cycling, or swimming.
#3. Get enough sleep: Aim for 7-9 hours of quality sleep each night. Make sure to create a relaxing bedtime routine and stick to a regular sleep schedule.
``` |