Instructions to use Mayank2027/samacore-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Mayank2027/samacore-v2 with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Mayank2027/samacore-v2", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

Unsloth Studio new

How to use Mayank2027/samacore-v2 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 Mayank2027/samacore-v2 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 Mayank2027/samacore-v2 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Mayank2027/samacore-v2 to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="Mayank2027/samacore-v2",
    max_seq_length=2048,
)

samacore-v2 / tokenizer.json

Commit History

Training in progress, step 100

ebbb021
verified

Mayank2027 commited on 12 days ago

Commit History

Training in progress, step 100 ebbb021 verified

Training in progress, step 100

ebbb021
verified