Instructions to use mrm8488/mobilebert-finetuned-pos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/mobilebert-finetuned-pos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mrm8488/mobilebert-finetuned-pos")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mrm8488/mobilebert-finetuned-pos") model = AutoModelForTokenClassification.from_pretrained("mrm8488/mobilebert-finetuned-pos") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac0f420702690221cbe89c8dc9f7ba205df2a85f19682050dab6b5a27353b05e
- Size of remote file:
- 98.7 MB
- SHA256:
- 7cc337dc38076d5a680b9ffb6579b6727d334b949fe242672609604dfcaf8271
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