Instructions to use adityakorade/procedure_Documentational_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use adityakorade/procedure_Documentational_model with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("adityakorade/procedure_Documentational_model", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

Unsloth Studio new

How to use adityakorade/procedure_Documentational_model 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 adityakorade/procedure_Documentational_model 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 adityakorade/procedure_Documentational_model to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for adityakorade/procedure_Documentational_model to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="adityakorade/procedure_Documentational_model",
    max_seq_length=2048,
)

procedure_Documentational_model / tokenizer.json

Commit History

Upload model trained with Unsloth

c4279da
verified

adityakorade commited on Jul 12, 2024

Commit History

Upload model trained with Unsloth c4279da verified

Upload model trained with Unsloth

c4279da
verified