Question Answering
Transformers
PyTorch
Safetensors
English
distilbert
conversational-ai
nlp
context-aware
Eval Results (legacy)
Instructions to use harpertoken/harpertokenConvAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harpertoken/harpertokenConvAI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="harpertoken/harpertokenConvAI")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("harpertoken/harpertokenConvAI") model = AutoModelForQuestionAnswering.from_pretrained("harpertoken/harpertokenConvAI") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (a5c40c46f54a2788177ace3f1d0c0499b5903cac)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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