Instructions to use mllm-dev/merge_diff_data_DROID with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mllm-dev/merge_diff_data_DROID with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mllm-dev/merge_diff_data_DROID")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mllm-dev/merge_diff_data_DROID") model = AutoModelForSequenceClassification.from_pretrained("mllm-dev/merge_diff_data_DROID") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
model.safetensors
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runs/Apr09_20-52-07_lambda-hyperplane02/events.out.tfevents.1712721132.lambda-hyperplane02.1425599.0
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runs/Apr09_21-26-04_lambda-hyperplane05/events.out.tfevents.1712715970.lambda-hyperplane05.3751301.0
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training_args.bin
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