Text Classification
PEFT
Safetensors
English
French
unsloth
lora
Multi-Task
Sentiment Analysis
Translation (English to French)
Instructions to use BEncoderRT/tinyllama-multitask-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use BEncoderRT/tinyllama-multitask-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T") model = PeftModel.from_pretrained(base_model, "BEncoderRT/tinyllama-multitask-lora") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from BEncoderRT/tinyllama-multitask-lora: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
-
https://huggingface.co/BEncoderRT/tinyllama-multitask-lora/resolve/4d03cb64a2ebe962b2194cc086e92e56a3bea29b/tokenizer.json
- Command line
-
hf download hf://BEncoderRT/tinyllama-multitask-lora@4d03cb64a2ebe962b2194cc086e92e56a3bea29b/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/BEncoderRT/tinyllama-multitask-lora/resolve/4d03cb64a2ebe962b2194cc086e92e56a3bea29b/tokenizer.json
3.62 MB
File too large to display, you can check the raw version instead.