Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use atrytone/scibert_claim_id_3e-05 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use atrytone/scibert_claim_id_3e-05 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="atrytone/scibert_claim_id_3e-05")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("atrytone/scibert_claim_id_3e-05") model = AutoModelForSequenceClassification.from_pretrained("atrytone/scibert_claim_id_3e-05") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 6
Browse files
pytorch_model.bin
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runs/May23_10-45-09_d10d6bd81b5a/events.out.tfevents.1684838715.d10d6bd81b5a.1682.8
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