Spaces:
Runtime error
Runtime error
Second attempt: Llama2 for representation model
Browse files- app.py +35 -4
- requirements.txt +4 -3
app.py
CHANGED
|
@@ -17,12 +17,19 @@ from cuml.cluster import HDBSCAN
|
|
| 17 |
from huggingface_hub import HfApi
|
| 18 |
from sklearn.feature_extraction.text import CountVectorizer
|
| 19 |
from sentence_transformers import SentenceTransformer
|
| 20 |
-
from transformers import
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 21 |
|
| 22 |
# These imports at the end because of torch/datamapplot issue in Zero GPU
|
| 23 |
# import spaces
|
| 24 |
import gradio as gr
|
| 25 |
|
|
|
|
| 26 |
|
| 27 |
"""
|
| 28 |
TODOs:
|
|
@@ -53,9 +60,33 @@ CHUNK_SIZE = 10_000
|
|
| 53 |
session = requests.Session()
|
| 54 |
sentence_model = SentenceTransformer("all-MiniLM-L6-v2")
|
| 55 |
|
| 56 |
-
|
| 57 |
-
|
| 58 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 59 |
|
| 60 |
vectorizer_model = CountVectorizer(stop_words="english")
|
| 61 |
|
|
|
|
| 17 |
from huggingface_hub import HfApi
|
| 18 |
from sklearn.feature_extraction.text import CountVectorizer
|
| 19 |
from sentence_transformers import SentenceTransformer
|
| 20 |
+
from transformers import (
|
| 21 |
+
BitsAndBytesConfig,
|
| 22 |
+
AutoTokenizer,
|
| 23 |
+
AutoModelForCausalLM,
|
| 24 |
+
pipeline,
|
| 25 |
+
)
|
| 26 |
+
from torch import bfloat16
|
| 27 |
|
| 28 |
# These imports at the end because of torch/datamapplot issue in Zero GPU
|
| 29 |
# import spaces
|
| 30 |
import gradio as gr
|
| 31 |
|
| 32 |
+
from prompts import REPRESENTATION_PROMPT
|
| 33 |
|
| 34 |
"""
|
| 35 |
TODOs:
|
|
|
|
| 60 |
session = requests.Session()
|
| 61 |
sentence_model = SentenceTransformer("all-MiniLM-L6-v2")
|
| 62 |
|
| 63 |
+
# Representation model
|
| 64 |
+
bnb_config = BitsAndBytesConfig(
|
| 65 |
+
load_in_4bit=True,
|
| 66 |
+
bnb_4bit_quant_type="nf4",
|
| 67 |
+
bnb_4bit_use_double_quant=True,
|
| 68 |
+
bnb_4bit_compute_dtype=bfloat16,
|
| 69 |
+
)
|
| 70 |
+
|
| 71 |
+
model_id = "meta-llama/Llama-2-7b-chat-hf"
|
| 72 |
+
tokenizer = AutoTokenizer.from_pretrained(model_id)
|
| 73 |
+
model = AutoModelForCausalLM.from_pretrained(
|
| 74 |
+
model_id,
|
| 75 |
+
trust_remote_code=True,
|
| 76 |
+
quantization_config=bnb_config,
|
| 77 |
+
device_map="auto",
|
| 78 |
+
)
|
| 79 |
+
model.eval()
|
| 80 |
+
generator = pipeline(
|
| 81 |
+
model=model,
|
| 82 |
+
tokenizer=tokenizer,
|
| 83 |
+
task="text-generation",
|
| 84 |
+
temperature=0.1,
|
| 85 |
+
max_new_tokens=500,
|
| 86 |
+
repetition_penalty=1.1,
|
| 87 |
+
)
|
| 88 |
+
representation_model = TextGeneration(generator, prompt=REPRESENTATION_PROMPT)
|
| 89 |
+
# End of representation model
|
| 90 |
|
| 91 |
vectorizer_model = CountVectorizer(stop_words="english")
|
| 92 |
|
requirements.txt
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
-
|
| 2 |
-
|
| 3 |
gradio_huggingfacehub_search==0.0.7
|
| 4 |
duckdb
|
| 5 |
accelerate
|
|
@@ -12,4 +12,5 @@ pandas
|
|
| 12 |
torch
|
| 13 |
numpy
|
| 14 |
python-dotenv
|
| 15 |
-
kaleido
|
|
|
|
|
|
| 1 |
+
--extra-index-url https://pypi.nvidia.com
|
| 2 |
+
cuml-cu11
|
| 3 |
gradio_huggingfacehub_search==0.0.7
|
| 4 |
duckdb
|
| 5 |
accelerate
|
|
|
|
| 12 |
torch
|
| 13 |
numpy
|
| 14 |
python-dotenv
|
| 15 |
+
kaleido
|
| 16 |
+
transformers
|