Instructions to use DanielNRU/pollen-re-model_ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DanielNRU/pollen-re-model_ with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DanielNRU/pollen-re-model_")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DanielNRU/pollen-re-model_") model = AutoModelForSequenceClassification.from_pretrained("DanielNRU/pollen-re-model_", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa777f7b7d009fe9ff228c11ca9a724da72dbba45d58c13c8aad129d7a95dc5e
- Size of remote file:
- 5.78 kB
- SHA256:
- 51d43adc159d0b719b700ce96bd6d819ef6940780d36f042be08c8838a8caf6b
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