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:
- 16d6129f93c273c98a50009ac226de54d0be2fa435ae2dc84a701c1c9ff7067a
- Size of remote file:
- 431 MB
- SHA256:
- e84bd73f6f7eccbbf1fecae162607f5da68766be42e3f22d476f4ac452329032
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