Translation
Transformers
Safetensors
Sinhala
Pāli
mbart
text2text-generation
pali
sinhala
low-resource
buddhist-texts
Eval Results (legacy)
Instructions to use NethranjaliSE/Pali_Sinhala_fine_tune_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NethranjaliSE/Pali_Sinhala_fine_tune_Model with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="NethranjaliSE/Pali_Sinhala_fine_tune_Model")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("NethranjaliSE/Pali_Sinhala_fine_tune_Model") model = AutoModelForSeq2SeqLM.from_pretrained("NethranjaliSE/Pali_Sinhala_fine_tune_Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 296 Bytes
63cf3a9 | 1 2 3 4 5 6 7 8 9 | error type,count,% of test set
degenerate repetition (4-gram repeated ≥2x),4,0.26
source copied verbatim,0,0.0
empty output,0,0.0
severe under-generation (ratio < 0.5),26,1.71
severe over-generation (ratio > 2.0),8,0.52
near-miss (60 ≤ chrF < 90),342,22.44
hard failure (chrF < 20),306,20.08
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