Instructions to use DisgustingOzil/Academic-ShortQA-Generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DisgustingOzil/Academic-ShortQA-Generator with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DisgustingOzil/Academic-ShortQA-Generator", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use DisgustingOzil/Academic-ShortQA-Generator with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for DisgustingOzil/Academic-ShortQA-Generator to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for DisgustingOzil/Academic-ShortQA-Generator to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for DisgustingOzil/Academic-ShortQA-Generator to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="DisgustingOzil/Academic-ShortQA-Generator", max_seq_length=2048, )
update handler.py
Browse files- handler.py +0 -19
handler.py
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from typing import Dict, List, Any
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import subprocess
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import importlib
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import subprocess
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import importlib
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import subprocess
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import importlib
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def install_and_import(package):
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try:
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importlib.import_module(package)
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except ImportError:
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subprocess.check_call(["pip", "install", package])
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finally:
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globals()[package] = importlib.import_module(package)
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# Ensure 'bitsandbytes' is installed
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install_and_import('accelerate')
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install_and_import('bitsandbytes')
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class EndpointHandler():
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def __init__(self, path=""):
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from typing import Dict, List, Any
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from transformers import AutoTokenizer, AutoModelForCausalLM
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class EndpointHandler():
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def __init__(self, path=""):
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