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
How to use this model
#4 opened 3 months ago
by
billybui
Dataset of Model
1
#3 opened 6 months ago
by
divishaupadhyay2
Adding `safetensors` variant of this model
#2 opened about 3 years ago
by
SFconvertbot
Is it published anywhere?
👍 1
#1 opened over 3 years ago
by
riyadhctg