Translation
Transformers
PyTorch
English
Nepali (individual language)
m2m_100
text2text-generation
nllb
Instructions to use Huggs108Bj/SelfTrainTransformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Huggs108Bj/SelfTrainTransformer 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="Huggs108Bj/SelfTrainTransformer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Huggs108Bj/SelfTrainTransformer") model = AutoModelForSeq2SeqLM.from_pretrained("Huggs108Bj/SelfTrainTransformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signatureVery much Changes6a55c45 -
Update README.md
Verified signaturechange1d9783d
-
Upload 9 files
Verified signatureUseful models858be73 -
Create app.py
Verified signature131db6f
-
Upload my_model_scratch.h5
Verified signatureSelf Trained Transformer Model in English Nepali Dataset Corpus. This model doesn't works well and uploaded just for demo purposes.36f2dfe -
initial commit
Verified signature02c34ac