Instructions to use Harini2506/scibert_12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Harini2506/scibert_12 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Harini2506/scibert_12")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Harini2506/scibert_12") model = AutoModelForTokenClassification.from_pretrained("Harini2506/scibert_12", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 3b7586b
Training in progress, epoch 6
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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