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
- Xet hash:
- a7ba295283aae18cb9251a95832ec49e1d899cdd8d5e33dd70734fc718d9aaa7
- Size of remote file:
- 2.74 kB
- SHA256:
- 8c5344f20890d769db83cd1fc67dcfa004001fb7dc7d1404e1ab2c13326a430c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.