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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca643889f92e49b9f8ebfc09d2558c9dce223f8c300820624f1689459d3ac4b9
- Size of remote file:
- 4.35 kB
- SHA256:
- 16a60529bbcd0ec86ea466fd577d1ea0fcfc193b74d5205b29f9d3fcd5864a3a
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