Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use Ludo33/e5_Main_topic_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ludo33/e5_Main_topic_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ludo33/e5_Main_topic_v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ludo33/e5_Main_topic_v1") model = AutoModelForSequenceClassification.from_pretrained("Ludo33/e5_Main_topic_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
39b335d | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:93189c5d9a15db043017cfd920e00cf72fe9a4220bd74b460b635f6aa85a61a2
size 17082999
|