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 training_args.bin from iRpro16/model_trainer: direct link, hf CLI and curl.
- Browser
- Download file 4.8 kB
-
https://huggingface.co/iRpro16/model_trainer/resolve/main/training_args.bin
- Command line
-
hf download hf://iRpro16/model_trainer/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/iRpro16/model_trainer/resolve/main/training_args.bin
4.8 kB
- Xet hash:
- 4a5dc79f64b0a0595a2eb8637e926af4d65179590d2f314ac0b95577fa88de7f
- Size of remote file:
- 4.8 kB
- SHA256:
- 603ce822560a5c19ba2a1adcba4987a47948961736c5ab4337e8090387c2edfb
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