Text Generation
PEFT
Safetensors
Russian
qasem
russian
lora
causal-lm
semantic-parsing
conversational
Instructions to use YonatanDavidov/qasem-ru-sambalingo-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use YonatanDavidov/qasem-ru-sambalingo-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("sambanovasystems/SambaLingo-Russian-Base") model = PeftModel.from_pretrained(base_model, "YonatanDavidov/qasem-ru-sambalingo-lora") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from YonatanDavidov/qasem-ru-sambalingo-lora: direct link, hf CLI and curl.
- Browser
- Download file 1 MB
-
https://huggingface.co/YonatanDavidov/qasem-ru-sambalingo-lora/resolve/main/tokenizer.model
- Command line
-
hf download hf://YonatanDavidov/qasem-ru-sambalingo-lora/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/YonatanDavidov/qasem-ru-sambalingo-lora/resolve/main/tokenizer.model
1 MB
- Xet hash:
- 3428057fde5c7907b7a8e183f5b56f900a7bb4a3dbecdda004fcb799a4935bbf
- Size of remote file:
- 1 MB
- SHA256:
- 073969738d4b1c3f2f95c87244bcfda2d9b82efec637868f1cf8cc984b35527b
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