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 tokenizer_config.json from iRpro16/model_trainer: direct link, hf CLI and curl.
- Browser
- Download file 87.9 MB
-
https://huggingface.co/iRpro16/model_trainer/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://iRpro16/model_trainer/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/iRpro16/model_trainer/resolve/main/tokenizer_config.json
87.9 MB
- Xet hash:
- 3a0b2f0686557aed1cb478448dc5226ebc1a959ca2c07fd0f1b7dbb644f7dc8f
- Size of remote file:
- 87.9 MB
- SHA256:
- 884ae33e5a9b4a1153e8626779d5e9a3026b35cb4b952ffd4297ae49401f3168
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