Instructions to use SEMEVAL-11/qwen2.57b_dadosoriginaisetraduzidos_3epocas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SEMEVAL-11/qwen2.57b_dadosoriginaisetraduzidos_3epocas with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SEMEVAL-11/qwen2.57b_dadosoriginaisetraduzidos_3epocas", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use SEMEVAL-11/qwen2.57b_dadosoriginaisetraduzidos_3epocas 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 SEMEVAL-11/qwen2.57b_dadosoriginaisetraduzidos_3epocas 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 SEMEVAL-11/qwen2.57b_dadosoriginaisetraduzidos_3epocas to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for SEMEVAL-11/qwen2.57b_dadosoriginaisetraduzidos_3epocas to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="SEMEVAL-11/qwen2.57b_dadosoriginaisetraduzidos_3epocas", max_seq_length=2048, )
- Xet hash:
- b28e5a13105636a545da0a73f12a3e3e03819d8f8baed040e15d4cadc8ea6850
- Size of remote file:
- 2.34 GB
- SHA256:
- b1bf57c97fda4d410cd94f204bf4f6aedb7f4acb995db752fc60e6f2dcca539c
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