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afzalur/case-study-mistral-7b-full
case-study-mistral-7b-full is a text generation model from afzalur. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
A fine-tuned Mistral 7B model specialized for business case study generation.
Downloads · 30 days
14
13% of all-time downloads
All-time downloads
112
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.safetensors14.5 GB · 100%
From the Hugging Face model README
A fine-tuned Mistral 7B model specialized for business case study generation.
Note: If the inference widget above shows "not deployed", use the code below for local testing:
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
# Load model
model_name = "afzalur/case-study-mistral-7b-full"
model = AutoModelForCausalLM.from_pretrained(
model_name,
torch_dtype=torch.float16,
device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained(model_name)
# Generate case study
prompt = "Create a case study about sustainable business practices for an MBA course"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(
**inputs,
max_new_tokens=512,
temperature=0.7,
do_sample=True
)
result = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(result[len(prompt):]) # Only show generated content
# For programmatic access
from transformers import pipeline
generator = pipeline(
"text-generation",
model="afzalur/case-study-mistral-7b-full",
torch_dtype=torch.float16,
device_map="auto"
)
result = generator(
"Create a case study about digital transformation",
max_new_tokens=512,
temperature=0.7
)
print(result[0]['generated_text'])
If the inference widget isn't available, you can:
Available for:
Contact: https://www.upwork.com/freelancers/~0198c0e561dde1229f