Reinforcement Learning
Transformers
Safetensors
qwen2
text-generation
Generated from Trainer
trl
grpo
openenv
schema-drift
agents
text-generation-inference
Instructions to use realambuj2001/schemaquake1-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use realambuj2001/schemaquake1-lora with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("realambuj2001/schemaquake1-lora") model = AutoModelForCausalLM.from_pretrained("realambuj2001/schemaquake1-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff206f79d3c0e627de7956b4ef37c2b8eeab5e83490ff04516bc674e4c1d6e77
- Size of remote file:
- 11.4 MB
- SHA256:
- 5eee858c5123a4279c3e1f7b81247343f356ac767940b2692a928ad929543214
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