Text Generation
PEFT
Safetensors
English
date-arithmetic
temporal-reasoning
business-days
timezones
iso-week
lora
adaption-autoscientist
conversational
Instructions to use Jainamshahhh/chronocalc-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Jainamshahhh/chronocalc-4b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-4b-it") model = PeftModel.from_pretrained(base_model, "Jainamshahhh/chronocalc-4b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 074537fedf0b6667d0fd38644bbe11a426c45b25e9ee3b271421f5f87e116af8
- Size of remote file:
- 238 MB
- SHA256:
- 97c20723a94ebf6961ca9c0d863fcf9f4e743affa199861937ab8a006df60734
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