Instructions to use DanielNRU/pollen-re2-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DanielNRU/pollen-re2-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DanielNRU/pollen-re2-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DanielNRU/pollen-re2-model") model = AutoModelForSequenceClassification.from_pretrained("DanielNRU/pollen-re2-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 70e9bc4133b4a94abdfc7b2b94cf8a73d762923604c8035fe7360c689c8e03c2
- Size of remote file:
- 5.84 kB
- SHA256:
- 6261970661e77199dc9b2caa44a9d63108368917713026c34adf6037a9c18844
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