Instructions to use DanielNRU/pollen_re2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DanielNRU/pollen_re2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DanielNRU/pollen_re2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DanielNRU/pollen_re2") model = AutoModelForSequenceClassification.from_pretrained("DanielNRU/pollen_re2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c220a3d867d69014e1325f4f78b9e1cdae8a62ca360ea740ce636e72590fd233
- Size of remote file:
- 5.84 kB
- SHA256:
- 573d025b05ee70a05defe68c028111201accee8a65bbf046e98b22fb59129df3
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