Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use OliverHeine/roberta-base_fold_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/roberta-base_fold_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/roberta-base_fold_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/roberta-base_fold_1") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/roberta-base_fold_1") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
0edfc02 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:6ebe3ae16946f7805508093636c0779a111ab68e707e658e09b092e2cdeddd33
size 5265
|