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
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license: apache-2.0
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datasets:
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- mteb/imdb
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language:
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- en
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- fr
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pipeline_tag: text-classification
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---
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# TinyLlama Multi-Task LoRA (Sentiment + Translation)
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license: apache-2.0
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datasets:
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- mteb/imdb
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- Helsinki-NLP/opus-100
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language:
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- en
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- fr
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pipeline_tag: text-classification
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base_model:
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- TinyLlama/TinyLlama-1.1B-Chat-v1.0
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tags:
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- unsloth
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- lora
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- peft
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- Multi-Task
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- Sentiment Analysis
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- Translation (English to French)
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---
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# TinyLlama Multi-Task LoRA (Sentiment + Translation)
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