Instructions to use recobo/agriculture-bert-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use recobo/agriculture-bert-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="recobo/agriculture-bert-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("recobo/agriculture-bert-uncased") model = AutoModelForMaskedLM.from_pretrained("recobo/agriculture-bert-uncased") - Notebooks
- Google Colab
- Kaggle
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README.md
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@@ -26,5 +26,5 @@ fill_mask = pipeline(
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model="recobo/agriculture-bert-uncased",
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tokenizer="recobo/agriculture-bert-uncased"
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)
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fill_mask("
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```
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model="recobo/agriculture-bert-uncased",
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tokenizer="recobo/agriculture-bert-uncased"
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)
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fill_mask("[MASK] is the practice of cultivating plants and livestock.")
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```
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