Instructions to use inovex/multi2convai-logistics-hr-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inovex/multi2convai-logistics-hr-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="inovex/multi2convai-logistics-hr-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("inovex/multi2convai-logistics-hr-bert") model = AutoModelForSequenceClassification.from_pretrained("inovex/multi2convai-logistics-hr-bert") - Notebooks
- Google Colab
- Kaggle
Multi2ConvAI-Logistics: finetuned Bert for Croatian
This model was developed in the Multi2ConvAI project:
- domain: Logistics (more details about our use cases: (en, de))
- language: Croatian (hr)
- model type: finetuned Bert
How to run
Requires:
- Huggingface transformers
Run with Huggingface Transformers
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("inovex/multi2convai-logistics-hr-bert")
model = AutoModelForSequenceClassification.from_pretrained("inovex/multi2convai-logistics-hr-bert")
Further information on Multi2ConvAI:
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