Text Classification
Transformers
Safetensors
English
qwen3_5_text
text-generation
system-one
system-two
blocks-of-experts
typed-decisions
decision-model
calibrated-probabilities
knowledge-distillation
jev
noul
choice
score
lora
qwen3_5
dual-head
vllm
multimodal
vision
computer-use
robotics
Eval Results (legacy)
Instructions to use autotrust/JEV-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use autotrust/JEV-9B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="autotrust/JEV-9B")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("autotrust/JEV-9B") model = AutoModelForCausalLM.from_pretrained("autotrust/JEV-9B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,132 Bytes
b63f651 | 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 59 60 61 62 63 64 65 66 67 68 69 70 71 | {
"metrics": {
"random": [
0.48894736842105274,
0.04,
0.205,
0.21949352013581572,
0.16814529929564767
],
"pop": [
0.5047368421052628,
0.04,
0.23,
0.2040320275478807,
0.16545971297364492
],
"title_sim": [
0.6015789473684214,
0.205,
0.385,
0.3667476255083533,
0.32769800815369743
],
"jev_titles": [
0.6171052631578946,
0.155,
0.425,
0.36171880061708434,
0.3013690903180073
],
"jev_images": [
0.7210526315789467,
0.255,
0.6,
0.48104892350240086,
0.4064158857783086
],
"jev_both": [
0.7149999999999997,
0.245,
0.54,
0.47049149692806513,
0.3986715261862323
],
"itemcf": [
0.727631578947368,
0.355,
0.49,
0.5031604435662497,
0.4600847555222559
]
},
"bootstrap_auc": {
"jev_images-jev_titles": [
0.10394736842105262,
0.05315789473684209,
0.15473684210526314
],
"jev_images-title_sim": [
0.1194736842105263,
0.06789473684210526,
0.1694736842105263
],
"jev_images-itemcf": [
-0.0065789473684210575,
-0.048947368421052635,
0.035789473684210524
]
},
"n_users": 200
} |