Instructions to use hkonsg/albert_base_v2_dropout with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hkonsg/albert_base_v2_dropout with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hkonsg/albert_base_v2_dropout")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hkonsg/albert_base_v2_dropout") model = AutoModelForQuestionAnswering.from_pretrained("hkonsg/albert_base_v2_dropout", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 559bcf42da32ce22e78d13eb474b49e16889cf1cf3c1b80f076036f709951ed7
- Size of remote file:
- 44.4 MB
- SHA256:
- ecfacb8e856d3fd9713a958bc5ba5cd234412bdd649fb52e8ace3dcfc7d3d6a0
路
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