Instructions to use maxmnd/fine_tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maxmnd/fine_tuned with Transformers:
# Load model directly from transformers import AutoTokenizer, PeftModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("maxmnd/fine_tuned") model = PeftModelForSeq2SeqLM.from_pretrained("maxmnd/fine_tuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use maxmnd/fine_tuned 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 maxmnd/fine_tuned 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 maxmnd/fine_tuned to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for maxmnd/fine_tuned to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="maxmnd/fine_tuned", max_seq_length=2048, )
Update config.json
Browse files- config.json +1 -0
config.json
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{
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"_name_or_path": "unsloth/Meta-Llama-3.1-8B",
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"architectures": [
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"PeftModelForSeq2SeqLM"
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],
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"attention_bias": false,
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{
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"_name_or_path": "unsloth/Meta-Llama-3.1-8B",
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"architectures": [
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"LlamaForCausalLM",
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"PeftModelForSeq2SeqLM"
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],
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"attention_bias": false,
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