# Trying to make AI conversation

for this fine-tuning of this model. here we use the **[dataset](abhijitgayen/cogo_chat)**

# How to use this Model

```python
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.
{}
transformers pytorch blenderbot text2text-generation autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #blenderbot #text2text-generation #autotrain_compatible #endpoints_compatible #region-us 

# Trying to make AI conversation

for this fine-tuning of this model. here we use the dataset

# How to use this Model




# 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.
# Trying to make AI conversation

for this fine-tuning of this model. here we use the dataset # How to use this Model # 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.
TAGS
#transformers #pytorch #blenderbot #text2text-generation #autotrain_compatible #endpoints_compatible #region-us 
 # Trying to make AI conversation

for this fine-tuning of this model. here we use the dataset # How to use this Model # 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.