Text Classification
Transformers
Safetensors
gemma4
gevva
cross-encoder
nli
gemma-4
system1
decision-engine
fast-inference
multimodal
vision
long-context
128k
zero-shot
tool-routing
reranking
hallucination-detection
Eval Results (legacy)
Instructions to use davidburhans/gevva-e2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davidburhans/gevva-e2b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="davidburhans/gevva-e2b")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("davidburhans/gevva-e2b") model = AutoModelForSequenceClassification.from_pretrained("davidburhans/gevva-e2b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,593 Bytes
1a2bc7c | 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 72 73 74 75 76 77 78 79 80 | {
"test_primary": {
"data_path": "data/test.jsonl",
"n_samples": 3113,
"accuracy": 0.8233,
"ece": 0.0175,
"brier": 0.249,
"per_class": {
"contradiction": {
"precision": 0.7712,
"recall": 0.9038,
"f1": 0.8323,
"support": 884
},
"entailment": {
"precision": 0.8507,
"recall": 0.8219,
"f1": 0.836,
"support": 1061
},
"neutral": {
"precision": 0.8479,
"recall": 0.7637,
"f1": 0.8036,
"support": 1168
}
},
"language_accuracy": {
"ar": 0.8788,
"de": 0.7273,
"en": 0.8345,
"es": 0.7963,
"fr": 0.8065,
"hi": 0.7143,
"ru": 0.72,
"sw": 0.5556,
"vi": 0.5926,
"zh": 0.6216
}
},
"test_v2": {
"data_path": "data/test_v2.jsonl",
"n_samples": 3113,
"accuracy": 0.8195,
"ece": 0.0184,
"brier": 0.2554,
"per_class": {
"contradiction": {
"precision": 0.7558,
"recall": 0.9073,
"f1": 0.8246,
"support": 863
},
"entailment": {
"precision": 0.8507,
"recall": 0.8219,
"f1": 0.836,
"support": 1061
},
"neutral": {
"precision": 0.8517,
"recall": 0.7536,
"f1": 0.7996,
"support": 1189
}
},
"language_accuracy": {
"ar": 0.8788,
"de": 0.7273,
"en": 0.8302,
"es": 0.7963,
"fr": 0.8065,
"hi": 0.7143,
"ru": 0.72,
"sw": 0.5556,
"vi": 0.5926,
"zh": 0.6216
}
}
} |