File size: 1,294 Bytes
ac37b9b 2ed7d6e ac37b9b 104ad45 ac37b9b 7acedcb ac37b9b 7acedcb ac37b9b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 |
---
license: mit
pipeline_tag: text-generation
datasets:
- tatsu-lab/alpaca
---
# VLM 1
- First model of VLM series (**V**ortex **L**anguage **M**odel)
## Talk with the model:
- Open [Google Colab](https://colab.research.google.com/)
- Create new notebook
- Paste this code in the first cell:
```bash
pip install transformers
```
or
```
!pip install transformers
```
Then past this in the second cell:
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
model_id = "PingVortex/VLM-1"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)
print("VLM 1 Chat\nType 'exit' to quit")
while True:
user_input = input("You: ")
if user_input.strip().lower() == "exit":
break
input_ids = tokenizer(user_input, return_tensors="pt").input_ids
input_ids = input_ids[:, -1024:]
with torch.no_grad():
output = model.generate(
input_ids,
max_new_tokens=50,
do_sample=True,
temperature=0.7,
top_p=0.9,
pad_token_id=tokenizer.eos_token_id
)
new_tokens = output[0][input_ids.shape[1]:]
response = tokenizer.decode(new_tokens, skip_special_tokens=True)
print("VLM:", response.strip())
``` |