Translation
Transformers
PyTorch
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use HamdanXI/t5_small_aslg_pc12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HamdanXI/t5_small_aslg_pc12 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="HamdanXI/t5_small_aslg_pc12")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("HamdanXI/t5_small_aslg_pc12") model = AutoModelForSeq2SeqLM.from_pretrained("HamdanXI/t5_small_aslg_pc12") - Notebooks
- Google Colab
- Kaggle
Add evaluation results on the default config and train split of aslg_pc12
#2
by autoevaluator HF Staff - opened
Beep boop, I am a bot from Hugging Face's automatic model evaluator π!
Your model has been evaluated on the default config and train split of the aslg_pc12 dataset by @HamdanXI , using the predictions stored here.
Accept this pull request to see the results displayed on the Hub leaderboard.
Evaluate your model on more datasets here.
HamdanXI changed pull request status to merged