Translation
Transformers
PyTorch
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use HamdanXI/t5_small_gloss_merged_dataset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HamdanXI/t5_small_gloss_merged_dataset 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_gloss_merged_dataset")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("HamdanXI/t5_small_gloss_merged_dataset") model = AutoModelForSeq2SeqLM.from_pretrained("HamdanXI/t5_small_gloss_merged_dataset", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from HamdanXI/t5_small_gloss_merged_dataset: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/HamdanXI/t5_small_gloss_merged_dataset/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://HamdanXI/t5_small_gloss_merged_dataset/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/HamdanXI/t5_small_gloss_merged_dataset/resolve/main/pytorch_model.bin
242 MB
- Xet hash:
- cf4217423ade17db9a6bbc0bbbd5512061e70785638c1b357be83fe8f5f3da95
- Size of remote file:
- 242 MB
- SHA256:
- 4e07fcc9d914fb99d5cf1cbf8f369aae85627168bbd05efb5fe6ce887124ab67
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