Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
English
bert
text-embeddings-inference
Instructions to use atrytone/scibert_uncased_claim_id with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use atrytone/scibert_uncased_claim_id with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="atrytone/scibert_uncased_claim_id")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("atrytone/scibert_uncased_claim_id") model = AutoModelForSequenceClassification.from_pretrained("atrytone/scibert_uncased_claim_id") - Notebooks
- Google Colab
- Kaggle