Instructions to use mpalaval/assignment2_attempt11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mpalaval/assignment2_attempt11 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mpalaval/assignment2_attempt11")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mpalaval/assignment2_attempt11") model = AutoModelForTokenClassification.from_pretrained("mpalaval/assignment2_attempt11", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f75936e3281b6c3f09a85347a1ce6a378ba7e149c3f736829f53ebafd0fd03a3
- Size of remote file:
- 4.6 kB
- SHA256:
- 15c985ad508ed73fc4ba4e3c83981de9bd0b5e8a0ac36e4b7fb5cf1088b0b577
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