Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use jsudol/scibert-acm-multilabel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jsudol/scibert-acm-multilabel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jsudol/scibert-acm-multilabel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jsudol/scibert-acm-multilabel") model = AutoModelForSequenceClassification.from_pretrained("jsudol/scibert-acm-multilabel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload optimal_thresholds.npy with huggingface_hub
Browse files- optimal_thresholds.npy +3 -0
optimal_thresholds.npy
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