# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("GautamR/convo_beginner_orgbot")
model = AutoModelForSequenceClassification.from_pretrained("GautamR/convo_beginner_orgbot")Quick Links
Chakshu/conversation_terminator_classifier This model is a fine-tuned version of google/mobilebert-uncased on an unknown dataset. It achieves the following results on the evaluation set:
The labels are :
- 0 : 'other general conversation'
- 1 : 'conversation starter'
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="GautamR/convo_beginner_orgbot")