Instructions to use Tommert25/robdataaugmentation1511 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tommert25/robdataaugmentation1511 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Tommert25/robdataaugmentation1511")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Tommert25/robdataaugmentation1511") model = AutoModelForTokenClassification.from_pretrained("Tommert25/robdataaugmentation1511", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf8ccef64115b816f92eddda29be071009cf99f1747cd95ada28b1b4fe2b953c
- Size of remote file:
- 4.6 kB
- SHA256:
- 9205a92310a0db29bbe3a413396b3e75efbc0a691cc9b7d9aa25f1517220d107
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