YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/model-cards#model-card-metadata)
Trying to make AI conversation
for this fine-tuning of this model. here we use the dataset
How to use this Model
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
model_id= "abhijitgayen/cogo-blenderbot"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForSeq2SeqLM.from_pretrained(model_id)
UTTERANCE = "help me to book fcl"
print("Human: ", UTTERANCE)
inputs = tokenizer([UTTERANCE], return_tensors="pt")
reply_ids = model.generate(**inputs)
print("Bot: ", tokenizer.batch_decode(reply_ids, skip_special_tokens=True)[0])
Out Put
Response is good but it is take time to give response..As chatbot a real time application. if it takes more than 20 sec , it is meaningless.
- Downloads last month
- 6
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.