Translation
Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use iRpro16/model_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iRpro16/model_trainer 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="iRpro16/model_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("iRpro16/model_trainer") model = AutoModelForSeq2SeqLM.from_pretrained("iRpro16/model_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download spiece.model from iRpro16/model_trainer: direct link, hf CLI and curl.
- Browser
- Download file 792 kB
-
https://huggingface.co/iRpro16/model_trainer/resolve/main/spiece.model
- Command line
-
hf download hf://iRpro16/model_trainer/spiece.model
-
curl -L -o spiece.model https://huggingface.co/iRpro16/model_trainer/resolve/main/spiece.model
792 kB
- Xet hash:
- e7463c1c6b7c46ae0de79b004f3d7318bf4307ef0bef4de3be2e38ae80fab160
- Size of remote file:
- 792 kB
- SHA256:
- d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
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