Text Generation
PEFT
Safetensors
lora
unsloth
power-systems
fault-diagnosis
state-estimation
fine-tuned
conversational
Instructions to use harshith0214/psse-agent-gpt-oss-20b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use harshith0214/psse-agent-gpt-oss-20b-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gpt-oss-20b-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "harshith0214/psse-agent-gpt-oss-20b-lora") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use harshith0214/psse-agent-gpt-oss-20b-lora 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 harshith0214/psse-agent-gpt-oss-20b-lora 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 harshith0214/psse-agent-gpt-oss-20b-lora to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for harshith0214/psse-agent-gpt-oss-20b-lora to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="harshith0214/psse-agent-gpt-oss-20b-lora", max_seq_length=2048, )
| { | |
| "backend": "tokenizers", | |
| "bos_token": "<|startoftext|>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|return|>", | |
| "is_local": false, | |
| "model_input_names": [ | |
| "input_ids", | |
| "attention_mask" | |
| ], | |
| "model_max_length": 131072, | |
| "pad_token": "<|reserved_200017|>", | |
| "padding_side": "left", | |
| "tokenizer_class": "TokenizersBackend", | |
| "unk_token": null | |
| } | |