Text Classification
Transformers
PyTorch
English
distilbert
seq2seq
Eval Results (legacy)
text-embeddings-inference
Instructions to use knkarthick/Action_Items with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use knkarthick/Action_Items with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="knkarthick/Action_Items")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("knkarthick/Action_Items") model = AutoModelForSequenceClassification.from_pretrained("knkarthick/Action_Items") - Notebooks
- Google Colab
- Kaggle
Is it published anywhere?
#1
by riyadhctg - opened
Hi Karthick, I wanted to get more context on this model... particularly if this is published anywhere... For context, I am looking for a similar model that I want to use in one of my research projects. As a result, I am looking into more theoretical background of this model... how it was trained? if it not published, was it inspired by other publication etc. Thanks in advance! -Riyadh