Instructions to use kallacharanteja/mt5-version4-Hindi-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kallacharanteja/mt5-version4-Hindi-medium with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/mt5-small") model = PeftModel.from_pretrained(base_model, "kallacharanteja/mt5-version4-Hindi-medium") - Transformers
How to use kallacharanteja/mt5-version4-Hindi-medium with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kallacharanteja/mt5-version4-Hindi-medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
medium_final — 6 epochs done
Browse files- trainer_state.json +10 -0
trainer_state.json
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"step": 5650,
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"train_runtime": 11399.0902,
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"train_tokens_per_second": 2028.625
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}
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"logging_steps": 50,
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"step": 5650,
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"train_runtime": 11399.0902,
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"train_tokens_per_second": 2028.625
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{
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"epoch": 6.0,
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"num_input_tokens_seen": 23178240,
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"step": 5664,
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"total_flos": 4.229533786963968e+16,
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"train_loss": 8.868080515309241,
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"train_runtime": 11434.2452,
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"train_samples_per_second": 15.837,
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"train_steps_per_second": 0.495
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}
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],
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"logging_steps": 50,
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