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gemma-2b-1-finetuned-pdf
singtan/gemma-2b-1-finetuned-pdf
gemma-2b-1-finetuned-pdf is a machine learning model from singtan. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model is a fine-tuned version of gpt2 on custom PDF documents.
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At a glance
- Model type
- gpt2
- Access
- Public
- Created
- Apr 29, 2026
- Updated
- Apr 29, 2026
- SHA
- 9c538ec5
Model card
From the Hugging Face model README
Custom Fine-tuned LLM from PDF
This model is a fine-tuned version of gpt2 on custom PDF documents.
Model Details
- Developed by: Bibek
- Model type: Causal Language Model
- Language(s): English
- Finetuned from model: gpt2
Intended Use
This model was specifically fine-tuned to understand and generate text based on the content extracted from the provided PDF: dummy.pdf.
Training Details
- Training Data: Text extracted from
dummy.pdfusingpypdf. - Epochs: 3
- Batch Size: 1
- Learning Rate: 5e-05
- Hardware: cuda
How to Get Started
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("singtan/gemma-2b-1-finetuned-pdf")
model = AutoModelForCausalLM.from_pretrained("singtan/gemma-2b-1-finetuned-pdf")
- Type
- gpt2
- Created
- Apr 29, 2026
- Updated
- Apr 29, 2026