Translation
PEFT
Safetensors
Zulu
English
african-languages
scientific-translation
afriscience-mt
lora
causal-lm
Eval Results (legacy)
Instructions to use dsfsi/tiny_aya_global-lora-r64-zul-eng with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dsfsi/tiny_aya_global-lora-r64-zul-eng with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("CohereLabs/tiny-aya-global") model = PeftModel.from_pretrained(base_model, "dsfsi/tiny_aya_global-lora-r64-zul-eng") - Notebooks
- Google Colab
- Kaggle
| { | |
| "additional_special_tokens": [ | |
| "<|START_RESPONSE|>", | |
| "<|END_RESPONSE|>" | |
| ], | |
| "bos_token": { | |
| "content": "<BOS_TOKEN>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "<|END_OF_TURN_TOKEN|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "<PAD>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "unk_token": { | |
| "content": "<UNK>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |