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| Hugging Face Tools Test Run — 20250822_034011 | |
| ================================================================================ | |
| === Running test_hf_models_search.py === | |
| Command: C:\Users\daqc\Documents\GitHub\open-deep-research-vulnerability-intelligence\venv\Scripts\python.exe C:\Users\daqc\Documents\GitHub\open-deep-research-vulnerability-intelligence\tests\test_hf_models_search.py | |
| --- INPUT (snippet) --- | |
| tool.forward( | |
| query="stable diffusion", | |
| task="text-to-image", | |
| sort="downloads", | |
| direction="descending", | |
| limit=5, | |
| ) | |
| try: | |
| data = json.loads(result_json_str) | |
| print(json.dumps(data, indent=2, ensure_ascii=False)) | |
| except Exception: | |
| print(result_json_str) | |
| if __name__ == "__main__": | |
| main() | |
| --- STDOUT --- | |
| { | |
| "results": [ | |
| { | |
| "type": "model", | |
| "id": "stabilityai/stable-diffusion-xl-base-1.0", | |
| "owner": "stabilityai", | |
| "url": "https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0", | |
| "description": "", | |
| "tags": [ | |
| "diffusers", | |
| "onnx", | |
| "safetensors", | |
| "text-to-image", | |
| "stable-diffusion", | |
| "arxiv:2307.01952", | |
| "arxiv:2211.01324", | |
| "arxiv:2108.01073", | |
| "arxiv:2112.10752", | |
| "license:openrail++", | |
| "autotrain_compatible", | |
| "endpoints_compatible", | |
| "diffusers:StableDiffusionXLPipeline", | |
| "region:us" | |
| ], | |
| "task": "text-to-image", | |
| "likes": 6862, | |
| "downloads": 2281071, | |
| "updatedAt": null, | |
| "visibility": "public", | |
| "access": "accessible" | |
| }, | |
| { | |
| "type": "model", | |
| "id": "stable-diffusion-v1-5/stable-diffusion-v1-5", | |
| "owner": "stable-diffusion-v1-5", | |
| "url": "https://huggingface.co/stable-diffusion-v1-5/stable-diffusion-v1-5", | |
| "description": "", | |
| "tags": [ | |
| "diffusers", | |
| "safetensors", | |
| "stable-diffusion", | |
| "stable-diffusion-diffusers", | |
| "text-to-image", | |
| "arxiv:2207.12598", | |
| "arxiv:2112.10752", | |
| "arxiv:2103.00020", | |
| "arxiv:2205.11487", | |
| "arxiv:1910.09700", | |
| "license:creativeml-openrail-m", | |
| "autotrain_compatible", | |
| "endpoints_compatible", | |
| "diffusers:StableDiffusionPipeline", | |
| "region:us" | |
| ], | |
| "task": "text-to-image", | |
| "likes": 755, | |
| "downloads": 2789469, | |
| "updatedAt": null, | |
| "visibility": "public", | |
| "access": "accessible" | |
| }, | |
| { | |
| "type": "model", | |
| "id": "stabilityai/stable-diffusion-xl-refiner-1.0", | |
| "owner": "stabilityai", | |
| "url": "https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0", | |
| "description": "", | |
| "tags": [ | |
| "diffusers", | |
| "safetensors", | |
| "stable-diffusion", | |
| "image-to-image", | |
| "arxiv:2307.01952", | |
| "arxiv:2211.01324", | |
| "arxiv:2108.01073", | |
| "arxiv:2112.10752", | |
| "license:openrail++", | |
| "diffusers:StableDiffusionXLImg2ImgPipeline", | |
| "region:us" | |
| ], | |
| "task": "image-to-image", | |
| "likes": 1953, | |
| "downloads": 544617, | |
| "updatedAt": null, | |
| "visibility": "public", | |
| "access": "accessible" | |
| }, | |
| { | |
| "type": "model", | |
| "id": "stabilityai/stable-diffusion-3.5-large", | |
| "owner": "stabilityai", | |
| "url": "https://huggingface.co/stabilityai/stable-diffusion-3.5-large", | |
| "description": "", | |
| "tags": [ | |
| "diffusers", | |
| "safetensors", | |
| "text-to-image", | |
| "stable-diffusion", | |
| "en", | |
| "arxiv:2403.03206", | |
| "license:other", | |
| "diffusers:StableDiffusion3Pipeline", | |
| "region:us" | |
| ], | |
| "task": "text-to-image", | |
| "likes": 3073, | |
| "downloads": 82027, | |
| "updatedAt": null, | |
| "visibility": "public", | |
| "access": "accessible" | |
| }, | |
| { | |
| "type": "model", | |
| "id": "stabilityai/stable-video-diffusion-img2vid", | |
| "owner": "stabilityai", | |
| "url": "https://huggingface.co/stabilityai/stable-video-diffusion-img2vid", | |
| "description": "", | |
| "tags": [ | |
| "diffusers", | |
| "safetensors", | |
| "image-to-video", | |
| "license:other", | |
| "diffusers:StableVideoDiffusionPipeline", | |
| "region:us" | |
| ], | |
| "task": "image-to-video", | |
| "likes": 957, | |
| "downloads": 46464, | |
| "updatedAt": null, | |
| "visibility": "public", | |
| "access": "accessible" | |
| } | |
| ], | |
| "status": 200, | |
| "error": "", | |
| "params": { | |
| "search": "stable diffusion", | |
| "pipeline_tag": "text-to-image", | |
| "sort": "downloads", | |
| "direction": "descending", | |
| "limit": 5 | |
| } | |
| } | |
| --- STDERR --- | |
| [OK] test_hf_models_search.py | |
| -------------------------------------------------------------------------------- | |
| === Running test_hf_model_info.py === | |
| Command: C:\Users\daqc\Documents\GitHub\open-deep-research-vulnerability-intelligence\venv\Scripts\python.exe C:\Users\daqc\Documents\GitHub\open-deep-research-vulnerability-intelligence\tests\test_hf_model_info.py | |
| --- INPUT (snippet) --- | |
| tool.forward(repo_id=repo_id) | |
| try: | |
| data = json.loads(result_json_str) | |
| print(json.dumps(data, indent=2, ensure_ascii=False)) | |
| except Exception: | |
| print(result_json_str) | |
| if __name__ == "__main__": | |
| main() | |
| --- STDOUT --- | |
| { | |
| "item": { | |
| "type": "model", | |
| "id": "sentence-transformers/all-MiniLM-L6-v2", | |
| "owner": "sentence-transformers", | |
| "url": "https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2", | |
| "description": "", | |
| "tags": [ | |
| "sentence-transformers", | |
| "pytorch", | |
| "tf", | |
| "rust", | |
| "onnx", | |
| "safetensors", | |
| "openvino", | |
| "bert", | |
| "feature-extraction", | |
| "sentence-similarity", | |
| "transformers", | |
| "en", | |
| "dataset:s2orc", | |
| "dataset:flax-sentence-embeddings/stackexchange_xml", | |
| "dataset:ms_marco", | |
| "dataset:gooaq", | |
| "dataset:yahoo_answers_topics", | |
| "dataset:code_search_net", | |
| "dataset:search_qa", | |
| "dataset:eli5", | |
| "dataset:snli", | |
| "dataset:multi_nli", | |
| "dataset:wikihow", | |
| "dataset:natural_questions", | |
| "dataset:trivia_qa", | |
| "dataset:embedding-data/sentence-compression", | |
| "dataset:embedding-data/flickr30k-captions", | |
| "dataset:embedding-data/altlex", | |
| "dataset:embedding-data/simple-wiki", | |
| "dataset:embedding-data/QQP", | |
| "dataset:embedding-data/SPECTER", | |
| "dataset:embedding-data/PAQ_pairs", | |
| "dataset:embedding-data/WikiAnswers", | |
| "arxiv:1904.06472", | |
| "arxiv:2102.07033", | |
| "arxiv:2104.08727", | |
| "arxiv:1704.05179", | |
| "arxiv:1810.09305", | |
| "license:apache-2.0", | |
| "autotrain_compatible", | |
| "text-embeddings-inference", | |
| "endpoints_compatible", | |
| "region:us" | |
| ], | |
| "task": "sentence-similarity", | |
| "likes": 3788, | |
| "downloads": 91944061, | |
| "updatedAt": "2025-03-06T13:37:44.000Z", | |
| "visibility": "public", | |
| "access": "accessible", | |
| "cardData": { | |
| "language": "en", | |
| "license": "apache-2.0", | |
| "library_name": "sentence-transformers", | |
| "tags": [ | |
| "sentence-transformers", | |
| "feature-extraction", | |
| "sentence-similarity", | |
| "transformers" | |
| ], | |
| "datasets": [ | |
| "s2orc", | |
| "flax-sentence-embeddings/stackexchange_xml", | |
| "ms_marco", | |
| "gooaq", | |
| "yahoo_answers_topics", | |
| "code_search_net", | |
| "search_qa", | |
| "eli5", | |
| "snli", | |
| "multi_nli", | |
| "wikihow", | |
| "natural_questions", | |
| "trivia_qa", | |
| "embedding-data/sentence-compression", | |
| "embedding-data/flickr30k-captions", | |
| "embedding-data/altlex", | |
| "embedding-data/simple-wiki", | |
| "embedding-data/QQP", | |
| "embedding-data/SPECTER", | |
| "embedding-data/PAQ_pairs", | |
| "embedding-data/WikiAnswers" | |
| ], | |
| "pipeline_tag": "sentence-similarity" | |
| }, | |
| "siblings": [ | |
| { | |
| "rfilename": ".gitattributes" | |
| }, | |
| { | |
| "rfilename": "1_Pooling/config.json" | |
| }, | |
| { | |
| "rfilename": "README.md" | |
| }, | |
| { | |
| "rfilename": "config.json" | |
| }, | |
| { | |
| "rfilename": "config_sentence_transformers.json" | |
| }, | |
| { | |
| "rfilename": "data_config.json" | |
| }, | |
| { | |
| "rfilename": "model.safetensors" | |
| }, | |
| { | |
| "rfilename": "modules.json" | |
| }, | |
| { | |
| "rfilename": "onnx/model.onnx" | |
| }, | |
| { | |
| "rfilename": "onnx/model_O1.onnx" | |
| }, | |
| { | |
| "rfilename": "onnx/model_O2.onnx" | |
| }, | |
| { | |
| "rfilename": "onnx/model_O3.onnx" | |
| }, | |
| { | |
| "rfilename": "onnx/model_O4.onnx" | |
| }, | |
| { | |
| "rfilename": "onnx/model_qint8_arm64.onnx" | |
| }, | |
| { | |
| "rfilename": "onnx/model_qint8_avx512.onnx" | |
| }, | |
| { | |
| "rfilename": "onnx/model_qint8_avx512_vnni.onnx" | |
| }, | |
| { | |
| "rfilename": "onnx/model_quint8_avx2.onnx" | |
| }, | |
| { | |
| "rfilename": "openvino/openvino_model.bin" | |
| }, | |
| { | |
| "rfilename": "openvino/openvino_model.xml" | |
| }, | |
| { | |
| "rfilename": "openvino/openvino_model_qint8_quantized.bin" | |
| }, | |
| { | |
| "rfilename": "openvino/openvino_model_qint8_quantized.xml" | |
| }, | |
| { | |
| "rfilename": "pytorch_model.bin" | |
| }, | |
| { | |
| "rfilename": "rust_model.ot" | |
| }, | |
| { | |
| "rfilename": "sentence_bert_config.json" | |
| }, | |
| { | |
| "rfilename": "special_tokens_map.json" | |
| }, | |
| { | |
| "rfilename": "tf_model.h5" | |
| }, | |
| { | |
| "rfilename": "tokenizer.json" | |
| }, | |
| { | |
| "rfilename": "tokenizer_config.json" | |
| }, | |
| { | |
| "rfilename": "train_script.py" | |
| }, | |
| { | |
| "rfilename": "vocab.txt" | |
| } | |
| ] | |
| }, | |
| "status": 200, | |
| "error": "" | |
| } | |
| --- STDERR --- | |
| [OK] test_hf_model_info.py | |
| -------------------------------------------------------------------------------- | |
| === Running test_hf_datasets_search.py === | |
| Command: C:\Users\daqc\Documents\GitHub\open-deep-research-vulnerability-intelligence\venv\Scripts\python.exe C:\Users\daqc\Documents\GitHub\open-deep-research-vulnerability-intelligence\tests\test_hf_datasets_search.py | |
| --- INPUT (snippet) --- | |
| tool.forward( | |
| query="sentiment analysis", | |
| tags="language:es", | |
| sort="downloads", | |
| direction="descending", | |
| limit=5, | |
| ) | |
| try: | |
| data = json.loads(result_json_str) | |
| print(json.dumps(data, indent=2, ensure_ascii=False)) | |
| except Exception: | |
| print(result_json_str) | |
| if __name__ == "__main__": | |
| main() | |
| --- STDOUT --- | |
| { | |
| "results": [ | |
| { | |
| "type": "dataset", | |
| "id": "Renukswamy/Patent_sentiment_analysis", | |
| "owner": "Renukswamy", | |
| "url": "https://huggingface.co/Renukswamy/Patent_sentiment_analysis", | |
| "description": "", | |
| "tags": [ | |
| "size_categories:n<1K", | |
| "format:csv", | |
| "modality:tabular", | |
| "modality:text", | |
| "library:datasets", | |
| "library:pandas", | |
| "library:mlcroissant", | |
| "library:polars", | |
| "region:us" | |
| ], | |
| "likes": 2, | |
| "downloads": 12, | |
| "updatedAt": "2021-11-26T09:18:15.000Z", | |
| "visibility": "public", | |
| "access": "accessible" | |
| }, | |
| { | |
| "type": "dataset", | |
| "id": "maydogan/Turkish_SentimentAnalysis_TRSAv1", | |
| "owner": "maydogan", | |
| "url": "https://huggingface.co/maydogan/Turkish_SentimentAnalysis_TRSAv1", | |
| "description": "", | |
| "tags": [ | |
| "task_categories:text-classification", | |
| "language:tr", | |
| "size_categories:100K<n<1M", | |
| "format:csv", | |
| "modality:text", | |
| "library:datasets", | |
| "library:pandas", | |
| "library:mlcroissant", | |
| "library:polars", | |
| "region:us" | |
| ], | |
| "likes": 6, | |
| "downloads": 161, | |
| "updatedAt": "2024-10-07T14:16:56.000Z", | |
| "visibility": "public", | |
| "access": "accessible" | |
| }, | |
| { | |
| "type": "dataset", | |
| "id": "winvoker/turkish-sentiment-analysis-dataset", | |
| "owner": "winvoker", | |
| "url": "https://huggingface.co/winvoker/turkish-sentiment-analysis-dataset", | |
| "description": "", | |
| "tags": [ | |
| "task_categories:text-classification", | |
| "task_ids:sentiment-classification", | |
| "annotations_creators:crowdsourced", | |
| "annotations_creators:expert-generated", | |
| "language_creators:crowdsourced", | |
| "multilinguality:monolingual", | |
| "language:tr", | |
| "license:cc-by-sa-4.0", | |
| "size_categories:100K<n<1M", | |
| "format:csv", | |
| "modality:text", | |
| "library:datasets", | |
| "library:pandas", | |
| "library:mlcroissant", | |
| "library:polars", | |
| "region:us" | |
| ], | |
| "likes": 47, | |
| "downloads": 459, | |
| "updatedAt": "2023-07-19T13:15:13.000Z", | |
| "visibility": "public", | |
| "access": "accessible" | |
| }, | |
| { | |
| "type": "dataset", | |
| "id": "ramnika003/autotrain-data-sentiment_analysis_project", | |
| "owner": "ramnika003", | |
| "url": "https://huggingface.co/ramnika003/autotrain-data-sentiment_analysis_project", | |
| "description": "", | |
| "tags": [ | |
| "task_categories:text-classification", | |
| "region:us" | |
| ], | |
| "likes": 0, | |
| "downloads": 160, | |
| "updatedAt": "2022-04-05T09:16:59.000Z", | |
| "visibility": "public", | |
| "access": "accessible" | |
| }, | |
| { | |
| "type": "dataset", | |
| "id": "elmurod1202/uzbek-sentiment-analysis", | |
| "owner": "elmurod1202", | |
| "url": "https://huggingface.co/elmurod1202/uzbek-sentiment-analysis", | |
| "description": "", | |
| "tags": [ | |
| "size_categories:10K<n<100K", | |
| "format:text", | |
| "modality:image", | |
| "modality:text", | |
| "library:datasets", | |
| "library:mlcroissant", | |
| "region:us" | |
| ], | |
| "likes": 3, | |
| "downloads": 236, | |
| "updatedAt": "2022-05-11T13:43:59.000Z", | |
| "visibility": "public", | |
| "access": "accessible" | |
| } | |
| ], | |
| "status": 200, | |
| "error": "", | |
| "params": { | |
| "search": "sentiment analysis", | |
| "tags": "language:es", | |
| "sort": "downloads", | |
| "direction": "descending", | |
| "limit": 5 | |
| } | |
| } | |
| --- STDERR --- | |
| [OK] test_hf_datasets_search.py | |
| -------------------------------------------------------------------------------- | |
| === Running test_hf_dataset_info.py === | |
| Command: C:\Users\daqc\Documents\GitHub\open-deep-research-vulnerability-intelligence\venv\Scripts\python.exe C:\Users\daqc\Documents\GitHub\open-deep-research-vulnerability-intelligence\tests\test_hf_dataset_info.py | |
| --- INPUT (snippet) --- | |
| tool.forward(repo_id=repo_id) | |
| try: | |
| data = json.loads(result_json_str) | |
| print(json.dumps(data, indent=2, ensure_ascii=False)) | |
| except Exception: | |
| print(result_json_str) | |
| if __name__ == "__main__": | |
| main() | |
| --- STDOUT --- | |
| { | |
| "item": { | |
| "type": "dataset", | |
| "id": "nyu-mll/glue", | |
| "owner": "nyu-mll", | |
| "url": "https://huggingface.co/nyu-mll/glue", | |
| "description": "", | |
| "tags": [ | |
| "task_categories:text-classification", | |
| "task_ids:acceptability-classification", | |
| "task_ids:natural-language-inference", | |
| "task_ids:semantic-similarity-scoring", | |
| "task_ids:sentiment-classification", | |
| "task_ids:text-scoring", | |
| "annotations_creators:other", | |
| "language_creators:other", | |
| "multilinguality:monolingual", | |
| "source_datasets:original", | |
| "language:en", | |
| "license:other", | |
| "size_categories:1M<n<10M", | |
| "format:parquet", | |
| "modality:tabular", | |
| "modality:text", | |
| "library:datasets", | |
| "library:pandas", | |
| "library:mlcroissant", | |
| "library:polars", | |
| "arxiv:1804.07461", | |
| "region:us", | |
| "qa-nli", | |
| "coreference-nli", | |
| "paraphrase-identification" | |
| ], | |
| "likes": 435, | |
| "downloads": 313025, | |
| "updatedAt": "2024-01-30T07:41:18.000Z", | |
| "visibility": "public", | |
| "access": "accessible", | |
| "cardData": { | |
| "annotations_creators": [ | |
| "other" | |
| ], | |
| "language_creators": [ | |
| "other" | |
| ], | |
| "language": [ | |
| "en" | |
| ], | |
| "license": [ | |
| "other" | |
| ], | |
| "multilinguality": [ | |
| "monolingual" | |
| ], | |
| "size_categories": [ | |
| "10K<n<100K" | |
| ], | |
| "source_datasets": [ | |
| "original" | |
| ], | |
| "task_categories": [ | |
| "text-classification" | |
| ], | |
| "task_ids": [ | |
| "acceptability-classification", | |
| "natural-language-inference", | |
| "semantic-similarity-scoring", | |
| "sentiment-classification", | |
| "text-scoring" | |
| ], | |
| "paperswithcode_id": "glue", | |
| "pretty_name": "GLUE (General Language Understanding Evaluation benchmark)", | |
| "config_names": [ | |
| "ax", | |
| "cola", | |
| "mnli", | |
| "mnli_matched", | |
| "mnli_mismatched", | |
| "mrpc", | |
| "qnli", | |
| "qqp", | |
| "rte", | |
| "sst2", | |
| "stsb", | |
| "wnli" | |
| ], | |
| "tags": [ | |
| "qa-nli", | |
| "coreference-nli", | |
| "paraphrase-identification" | |
| ], | |
| "dataset_info": [ | |
| { | |
| "config_name": "ax", | |
| "features": [ | |
| { | |
| "name": "premise", | |
| "dtype": "string" | |
| }, | |
| { | |
| "name": "hypothesis", | |
| "dtype": "string" | |
| }, | |
| { | |
| "name": "label", | |
| "dtype": { | |
| "class_label": { | |
| "names": { | |
| "0": "entailment", | |
| "1": "neutral", | |
| "2": "contradiction" | |
| } | |
| } | |
| } | |
| }, | |
| { | |
| "name": "idx", | |
| "dtype": "int32" | |
| } | |
| ], | |
| "splits": [ | |
| { | |
| "name": "test", | |
| "num_bytes": 237694, | |
| "num_examples": 1104 | |
| } | |
| ], | |
| "download_size": 80767, | |
| "dataset_size": 237694 | |
| }, | |
| { | |
| "config_name": "cola", | |
| "features": [ | |
| { | |
| "name": "sentence", | |
| "dtype": "string" | |
| }, | |
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| "rfilename": ".gitattributes" | |
| }, | |
| { | |
| "rfilename": "README.md" | |
| }, | |
| { | |
| "rfilename": "ax/test-00000-of-00001.parquet" | |
| }, | |
| { | |
| "rfilename": "cola/test-00000-of-00001.parquet" | |
| }, | |
| { | |
| "rfilename": "cola/train-00000-of-00001.parquet" | |
| }, | |
| { | |
| "rfilename": "cola/validation-00000-of-00001.parquet" | |
| }, | |
| { | |
| "rfilename": "mnli/test_matched-00000-of-00001.parquet" | |
| }, | |
| { | |
| "rfilename": "mnli/test_mismatched-00000-of-00001.parquet" | |
| }, | |
| { | |
| "rfilename": "mnli/train-00000-of-00001.parquet" | |
| }, | |
| { | |
| "rfilename": "mnli/validation_matched-00000-of-00001.parquet" | |
| }, | |
| { | |
| "rfilename": "mnli/validation_mismatched-00000-of-00001.parquet" | |
| }, | |
| { | |
| "rfilename": "mnli_matched/test-00000-of-00001.parquet" | |
| }, | |
| { | |
| "rfilename": "mnli_matched/validation-00000-of-00001.parquet" | |
| }, | |
| { | |
| "rfilename": "mnli_mismatched/test-00000-of-00001.parquet" | |
| }, | |
| { | |
| "rfilename": "mnli_mismatched/validation-00000-of-00001.parquet" | |
| }, | |
| { | |
| "rfilename": "mrpc/test-00000-of-00001.parquet" | |
| }, | |
| { | |
| "rfilename": "mrpc/train-00000-of-00001.parquet" | |
| }, | |
| { | |
| "rfilename": "mrpc/validation-00000-of-00001.parquet" | |
| }, | |
| { | |
| "rfilename": "qnli/test-00000-of-00001.parquet" | |
| }, | |
| { | |
| "rfilename": "qnli/train-00000-of-00001.parquet" | |
| }, | |
| { | |
| "rfilename": "qnli/validation-00000-of-00001.parquet" | |
| }, | |
| { | |
| "rfilename": "qqp/test-00000-of-00001.parquet" | |
| }, | |
| { | |
| "rfilename": "qqp/train-00000-of-00001.parquet" | |
| }, | |
| { | |
| "rfilename": "qqp/validation-00000-of-00001.parquet" | |
| }, | |
| { | |
| "rfilename": "rte/test-00000-of-00001.parquet" | |
| }, | |
| { | |
| "rfilename": "rte/train-00000-of-00001.parquet" | |
| }, | |
| { | |
| "rfilename": "rte/validation-00000-of-00001.parquet" | |
| }, | |
| { | |
| "rfilename": "sst2/test-00000-of-00001.parquet" | |
| }, | |
| { | |
| "rfilename": "sst2/train-00000-of-00001.parquet" | |
| }, | |
| { | |
| "rfilename": "sst2/validation-00000-of-00001.parquet" | |
| }, | |
| { | |
| "rfilename": "stsb/test-00000-of-00001.parquet" | |
| }, | |
| { | |
| "rfilename": "stsb/train-00000-of-00001.parquet" | |
| }, | |
| { | |
| "rfilename": "stsb/validation-00000-of-00001.parquet" | |
| }, | |
| { | |
| "rfilename": "wnli/test-00000-of-00001.parquet" | |
| }, | |
| { | |
| "rfilename": "wnli/train-00000-of-00001.parquet" | |
| }, | |
| { | |
| "rfilename": "wnli/validation-00000-of-00001.parquet" | |
| } | |
| ] | |
| }, | |
| "status": 200, | |
| "error": "" | |
| } | |
| --- STDERR --- | |
| [OK] test_hf_dataset_info.py | |
| -------------------------------------------------------------------------------- | |
| === Running test_hf_spaces_search.py === | |
| Command: C:\Users\daqc\Documents\GitHub\open-deep-research-vulnerability-intelligence\venv\Scripts\python.exe C:\Users\daqc\Documents\GitHub\open-deep-research-vulnerability-intelligence\tests\test_hf_spaces_search.py | |
| --- INPUT (snippet) --- | |
| tool.forward( | |
| query="document Q&A", | |
| sort="likes", | |
| direction="descending", | |
| limit=5, | |
| ) | |
| try: | |
| data = json.loads(result_json_str) | |
| print(json.dumps(data, indent=2, ensure_ascii=False)) | |
| except Exception: | |
| print(result_json_str) | |
| if __name__ == "__main__": | |
| main() | |
| --- STDOUT --- | |
| { | |
| "results": [], | |
| "status": 200, | |
| "error": "", | |
| "params": { | |
| "search": "document Q&A", | |
| "sort": "likes", | |
| "direction": "descending", | |
| "limit": 5 | |
| } | |
| } | |
| --- STDERR --- | |
| [OK] test_hf_spaces_search.py | |
| -------------------------------------------------------------------------------- | |
| === Running test_hf_space_info.py === | |
| Command: C:\Users\daqc\Documents\GitHub\open-deep-research-vulnerability-intelligence\venv\Scripts\python.exe C:\Users\daqc\Documents\GitHub\open-deep-research-vulnerability-intelligence\tests\test_hf_space_info.py | |
| --- INPUT (snippet) --- | |
| tool.forward(repo_id=repo_id) | |
| try: | |
| data = json.loads(result_json_str) | |
| print(json.dumps(data, indent=2, ensure_ascii=False)) | |
| except Exception: | |
| # Fallback: encode to UTF-8 to avoid Windows cp1252 issues | |
| try: | |
| print(result_json_str.encode("utf-8", errors="replace").decode("utf-8", errors="replace")) | |
| except Exception: | |
| print("<unprintable> due to encoding error") | |
| if __name__ == "__main__": | |
| main() | |
| --- STDOUT --- | |
| <unprintable> due to encoding error | |
| --- STDERR --- | |
| [OK] test_hf_space_info.py | |
| -------------------------------------------------------------------------------- | |
| === Running test_hf_user_info.py === | |
| Command: C:\Users\daqc\Documents\GitHub\open-deep-research-vulnerability-intelligence\venv\Scripts\python.exe C:\Users\daqc\Documents\GitHub\open-deep-research-vulnerability-intelligence\tests\test_hf_user_info.py | |
| --- INPUT (snippet) --- | |
| tool.forward(username=username) | |
| try: | |
| data = json.loads(result_json_str) | |
| print(json.dumps(data, indent=2, ensure_ascii=False)) | |
| except Exception: | |
| print(result_json_str) | |
| if __name__ == "__main__": | |
| main() | |
| --- STDOUT --- | |
| { | |
| "item": {}, | |
| "status": 404, | |
| "error": "http_404", | |
| "visibility": "public", | |
| "access": "no_access" | |
| } | |
| --- STDERR --- | |
| [OK] test_hf_user_info.py | |
| -------------------------------------------------------------------------------- | |
| === Running test_hf_collections_list.py === | |
| Command: C:\Users\daqc\Documents\GitHub\open-deep-research-vulnerability-intelligence\venv\Scripts\python.exe C:\Users\daqc\Documents\GitHub\open-deep-research-vulnerability-intelligence\tests\test_hf_collections_list.py | |
| --- INPUT (snippet) --- | |
| tool.forward(owner=None) # or set an owner like "huggingface" | |
| try: | |
| data = json.loads(result_json_str) | |
| print(json.dumps(data, indent=2, ensure_ascii=False)) | |
| except Exception: | |
| print(result_json_str) | |
| if __name__ == "__main__": | |
| main() | |
| --- STDOUT --- | |
| { | |
| "results": [ | |
| { | |
| "type": "collection", | |
| "id": "deepseek-ai/deepseek-v31-68a491bed32bd77e7fca048f", | |
| "owner": "deepseek-ai", | |
| "title": "DeepSeek-V3.1", | |
| "url": "https://huggingface.co/collections/deepseek-ai/deepseek-ai/deepseek-v31-68a491bed32bd77e7fca048f", | |
| "visibility": "public", | |
| "access": "accessible" | |
| }, | |
| { | |
| "type": "collection", | |
| "id": "facebook/dinov3-68924841bd6b561778e31009", | |
| "owner": "facebook", | |
| "title": "DINOv3", | |
| "url": "https://huggingface.co/collections/facebook/facebook/dinov3-68924841bd6b561778e31009", | |
| "visibility": "public", | |
| "access": "accessible" | |
| }, | |
| { | |
| "type": "collection", | |
| "id": "AIDC-AI/ovis25-689ec1474633b2aab8809335", | |
| "owner": "AIDC-AI", | |
| "title": "Ovis2.5", | |
| "url": "https://huggingface.co/collections/AIDC-AI/AIDC-AI/ovis25-689ec1474633b2aab8809335", | |
| "visibility": "public", | |
| "access": "accessible" | |
| }, | |
| { | |
| "type": "collection", | |
| "id": "nvidia/nvidia-nemotron-689f6d6e6ead8e77dd641615", | |
| "owner": "nvidia", | |
| "title": "NVIDIA Nemotron", | |
| "url": "https://huggingface.co/collections/nvidia/nvidia/nvidia-nemotron-689f6d6e6ead8e77dd641615", | |
| "visibility": "public", | |
| "access": "accessible" | |
| }, | |
| { | |
| "type": "collection", | |
| "id": "ByteDance-Seed/seed-oss-68a609f4201e788db05b5dcd", | |
| "owner": "ByteDance-Seed", | |
| "title": "Seed-OSS", | |
| "url": "https://huggingface.co/collections/ByteDance-Seed/ByteDance-Seed/seed-oss-68a609f4201e788db05b5dcd", | |
| "visibility": "public", | |
| "access": "accessible" | |
| }, | |
| { | |
| "type": "collection", | |
| "id": "google/gemma-3-release-67c6c6f89c4f76621268bb6d", | |
| "owner": "google", | |
| "title": "Gemma 3 Release", | |
| "url": "https://huggingface.co/collections/google/google/gemma-3-release-67c6c6f89c4f76621268bb6d", | |
| "visibility": "public", | |
| "access": "accessible" | |
| }, | |
| { | |
| "type": "collection", | |
| "id": "openai/gpt-oss-68911959590a1634ba11c7a4", | |
| "owner": "openai", | |
| "title": "gpt-oss", | |
| "url": "https://huggingface.co/collections/openai/openai/gpt-oss-68911959590a1634ba11c7a4", | |
| "visibility": "public", | |
| "access": "accessible" | |
| }, | |
| { | |
| "type": "collection", | |
| "id": "Qwen/qwen3-67dd247413f0e2e4f653967f", | |
| "owner": "Qwen", | |
| "title": "Qwen3", | |
| "url": "https://huggingface.co/collections/Qwen/Qwen/qwen3-67dd247413f0e2e4f653967f", | |
| "visibility": "public", | |
| "access": "accessible" | |
| }, | |
| { | |
| "type": "collection", | |
| "id": "nvidia/nemotron-pre-training-dataset-689d9de36f84279d83786b35", | |
| "owner": "nvidia", | |
| "title": "Nemotron-Pre-Training-Dataset", | |
| "url": "https://huggingface.co/collections/nvidia/nvidia/nemotron-pre-training-dataset-689d9de36f84279d83786b35", | |
| "visibility": "public", | |
| "access": "accessible" | |
| }, | |
| { | |
| "type": "collection", | |
| "id": "inclusionAI/ui-venus-689f2fb01a4234cbce91c56a", | |
| "owner": "inclusionAI", | |
| "title": "UI-Venus", | |
| "url": "https://huggingface.co/collections/inclusionAI/inclusionAI/ui-venus-689f2fb01a4234cbce91c56a", | |
| "visibility": "public", | |
| "access": "accessible" | |
| } | |
| ], | |
| "status": 200, | |
| "error": "" | |
| } | |
| --- STDERR --- | |
| [OK] test_hf_collections_list.py | |
| -------------------------------------------------------------------------------- | |
| === Running test_hf_collection_get.py === | |
| Command: C:\Users\daqc\Documents\GitHub\open-deep-research-vulnerability-intelligence\venv\Scripts\python.exe C:\Users\daqc\Documents\GitHub\open-deep-research-vulnerability-intelligence\tests\test_hf_collection_get.py | |
| --- INPUT (snippet) --- | |
| tool.forward(namespace=namespace, slug_id=slug_id) | |
| try: | |
| data = json.loads(result_json_str) | |
| print(json.dumps(data, indent=2, ensure_ascii=False)) | |
| except Exception: | |
| print(result_json_str) | |
| if __name__ == "__main__": | |
| main() | |
| --- STDOUT --- | |
| { | |
| "item": {}, | |
| "status": 404, | |
| "error": "http_404" | |
| } | |
| --- STDERR --- | |
| [OK] test_hf_collection_get.py | |
| -------------------------------------------------------------------------------- | |
| === Running test_hf_paper_info.py === | |
| Command: C:\Users\daqc\Documents\GitHub\open-deep-research-vulnerability-intelligence\venv\Scripts\python.exe C:\Users\daqc\Documents\GitHub\open-deep-research-vulnerability-intelligence\tests\test_hf_paper_info.py | |
| --- INPUT (snippet) --- | |
| tool.forward(arxiv_id=arxiv_id) | |
| try: | |
| data = json.loads(result_json_str) | |
| print(json.dumps(data, indent=2, ensure_ascii=False)) | |
| except Exception: | |
| print(result_json_str) | |
| if __name__ == "__main__": | |
| main() | |
| --- STDOUT --- | |
| { | |
| "item": { | |
| "id": "1706.03762", | |
| "authors": [ | |
| { | |
| "_id": "6411c77d6b75ddced38902b6", | |
| "user": { | |
| "_id": "60fe1b231a3e6f5129776bf9", | |
| "avatarUrl": "/avatars/c80edad5267c6ed9ecde9b056993d5c3.svg", | |
| "isPro": false, | |
| "fullname": "Ashish Vaswani", | |
| "user": "ashishvaswanigoogle", | |
| "type": "user" | |
| }, | |
| "name": "Ashish Vaswani", | |
| "status": "extracted_pending", | |
| "statusLastChangedAt": "2023-03-15T09:40:25.803Z", | |
| "hidden": false | |
| }, | |
| { | |
| "_id": "6411c77d6b75ddced38902b7", | |
| "name": "Noam Shazeer", | |
| "hidden": false | |
| }, | |
| { | |
| "_id": "6411c77d6b75ddced38902b8", | |
| "user": { | |
| "_id": "60fee8e1465daccb9f332e2f", | |
| "avatarUrl": "/avatars/ea92bf15e181b4f13a70f18ee3ba7a51.svg", | |
| "isPro": false, | |
| "fullname": "Niki Parmar", | |
| "user": "nikip", | |
| "type": "user" | |
| }, | |
| "name": "Niki Parmar", | |
| "status": "extracted_pending", | |
| "statusLastChangedAt": "2023-03-15T09:40:25.803Z", | |
| "hidden": false | |
| }, | |
| { | |
| "_id": "6411c77d6b75ddced38902b9", | |
| "name": "Jakob Uszkoreit", | |
| "hidden": false | |
| }, | |
| { | |
| "_id": "6411c77d6b75ddced38902ba", | |
| "name": "Llion Jones", | |
| "hidden": false | |
| }, | |
| { | |
| "_id": "6411c77d6b75ddced38902bb", | |
| "name": "Aidan N. Gomez", | |
| "hidden": false | |
| }, | |
| { | |
| "_id": "6411c77d6b75ddced38902bc", | |
| "name": "Lukasz Kaiser", | |
| "hidden": false | |
| }, | |
| { | |
| "_id": "6411c77d6b75ddced38902bd", | |
| "name": "Illia Polosukhin", | |
| "hidden": false | |
| } | |
| ], | |
| "publishedAt": "2017-06-12T17:57:34.000Z", | |
| "title": "Attention Is All You Need", | |
| "summary": "The dominant sequence transduction models are based on complex recurrent or\nconvolutional neural networks in an encoder-decoder configuration. The best\nperforming models also connect the encoder and decoder through an attention\nmechanism. We propose a new simple network architecture, the Transformer, based\nsolely on attention mechanisms, dispensing with recurrence and convolutions\nentirely. Experiments on two machine translation tasks show these models to be\nsuperior in quality while being more parallelizable and requiring significantly\nless time to train. Our model achieves 28.4 BLEU on the WMT 2014\nEnglish-to-German translation task, improving over the existing best results,\nincluding ensembles by over 2 BLEU. On the WMT 2014 English-to-French\ntranslation task, our model establishes a new single-model state-of-the-art\nBLEU score of 41.8 after training for 3.5 days on eight GPUs, a small fraction\nof the training costs of the best models from the literature. We show that the\nTransformer generalizes well to other tasks by applying it successfully to\nEnglish constituency parsing both with large and limited training data.", | |
| "upvotes": 79, | |
| "discussionId": "641192343ea54b1aa7e2f084", | |
| "ai_summary": "The Transformer architecture, based purely on attention mechanisms, achieves superior performance on machine translation and parsing tasks with improved parallelizability and reduced training time.", | |
| "ai_keywords": [ | |
| "recurrent neural networks", | |
| "convolutional neural networks", | |
| "encoder-decoder configuration", | |
| "attention mechanism", | |
| "Transformer", | |
| "BLEU score", | |
| "WMT 2014 English-to-German translation", | |
| "WMT 2014 English-to-French translation", | |
| "English constituency parsing" | |
| ] | |
| }, | |
| "status": 200, | |
| "error": "" | |
| } | |
| --- STDERR --- | |
| [OK] test_hf_paper_info.py | |
| -------------------------------------------------------------------------------- | |
| === Running test_hf_paper_repos.py === | |
| Command: C:\Users\daqc\Documents\GitHub\open-deep-research-vulnerability-intelligence\venv\Scripts\python.exe C:\Users\daqc\Documents\GitHub\open-deep-research-vulnerability-intelligence\tests\test_hf_paper_repos.py | |
| --- INPUT (snippet) --- | |
| tool.forward(arxiv_id=arxiv_id) | |
| try: | |
| data = json.loads(result_json_str) | |
| print(json.dumps(data, indent=2, ensure_ascii=False)) | |
| except Exception: | |
| print(result_json_str) | |
| if __name__ == "__main__": | |
| main() | |
| --- STDOUT --- | |
| { | |
| "results": [], | |
| "status": 200, | |
| "error": "" | |
| } | |
| --- STDERR --- | |
| [OK] test_hf_paper_repos.py | |
| -------------------------------------------------------------------------------- | |
| === Running test_hf_daily_papers.py === | |
| Command: C:\Users\daqc\Documents\GitHub\open-deep-research-vulnerability-intelligence\venv\Scripts\python.exe C:\Users\daqc\Documents\GitHub\open-deep-research-vulnerability-intelligence\tests\test_hf_daily_papers.py | |
| --- INPUT (snippet) --- | |
| tool.forward() | |
| try: | |
| data = json.loads(result_json_str) | |
| print(json.dumps(data, indent=2, ensure_ascii=False)) | |
| except Exception: | |
| try: | |
| print(result_json_str.encode("utf-8", errors="replace").decode("utf-8", errors="replace")) | |
| except Exception: | |
| print("<unprintable> due to encoding error") | |
| if __name__ == "__main__": | |
| main() | |
| --- STDOUT --- | |
| <unprintable> due to encoding error | |
| --- STDERR --- | |
| [OK] test_hf_daily_papers.py | |
| -------------------------------------------------------------------------------- | |
| === Running test_hf_repo_info.py === | |
| Command: C:\Users\daqc\Documents\GitHub\open-deep-research-vulnerability-intelligence\venv\Scripts\python.exe C:\Users\daqc\Documents\GitHub\open-deep-research-vulnerability-intelligence\tests\test_hf_repo_info.py | |
| --- INPUT (snippet) --- | |
| tool.forward(repo_type="model", repo_id="bert-base-uncased") | |
| try: | |
| data = json.loads(result_json_str) | |
| print(json.dumps(data, indent=2, ensure_ascii=False)) | |
| except Exception: | |
| print(result_json_str) | |
| if __name__ == "__main__": | |
| main() | |
| --- STDOUT --- | |
| { | |
| "item": { | |
| "_id": "621ffdc036468d709f174338", | |
| "id": "google-bert/bert-base-uncased", | |
| "private": false, | |
| "pipeline_tag": "fill-mask", | |
| "library_name": "transformers", | |
| "tags": [ | |
| "transformers", | |
| "pytorch", | |
| "tf", | |
| "jax", | |
| "rust", | |
| "coreml", | |
| "onnx", | |
| "safetensors", | |
| "bert", | |
| "fill-mask", | |
| "exbert", | |
| "en", | |
| "dataset:bookcorpus", | |
| "dataset:wikipedia", | |
| "arxiv:1810.04805", | |
| "license:apache-2.0", | |
| "autotrain_compatible", | |
| "endpoints_compatible", | |
| "region:us" | |
| ], | |
| "downloads": 52064840, | |
| "likes": 2385, | |
| "modelId": "google-bert/bert-base-uncased", | |
| "author": "google-bert", | |
| "sha": "86b5e0934494bd15c9632b12f734a8a67f723594", | |
| "lastModified": "2024-02-19T11:06:12.000Z", | |
| "gated": false, | |
| "disabled": false, | |
| "mask_token": "[MASK]", | |
| "widgetData": [ | |
| { | |
| "text": "Paris is the [MASK] of France." | |
| }, | |
| { | |
| "text": "The goal of life is [MASK]." | |
| } | |
| ], | |
| "model-index": null, | |
| "config": { | |
| "architectures": [ | |
| "BertForMaskedLM" | |
| ], | |
| "model_type": "bert", | |
| "tokenizer_config": {} | |
| }, | |
| "cardData": { | |
| "language": "en", | |
| "tags": [ | |
| "exbert" | |
| ], | |
| "license": "apache-2.0", | |
| "datasets": [ | |
| "bookcorpus", | |
| "wikipedia" | |
| ] | |
| }, | |
| "transformersInfo": { | |
| "auto_model": "AutoModelForMaskedLM", | |
| "pipeline_tag": "fill-mask", | |
| "processor": "AutoTokenizer" | |
| }, | |
| "siblings": [ | |
| { | |
| "rfilename": ".gitattributes" | |
| }, | |
| { | |
| "rfilename": "LICENSE" | |
| }, | |
| { | |
| "rfilename": "README.md" | |
| }, | |
| { | |
| "rfilename": "config.json" | |
| }, | |
| { | |
| "rfilename": "coreml/fill-mask/float32_model.mlpackage/Data/com.apple.CoreML/model.mlmodel" | |
| }, | |
| { | |
| "rfilename": "coreml/fill-mask/float32_model.mlpackage/Data/com.apple.CoreML/weights/weight.bin" | |
| }, | |
| { | |
| "rfilename": "coreml/fill-mask/float32_model.mlpackage/Manifest.json" | |
| }, | |
| { | |
| "rfilename": "flax_model.msgpack" | |
| }, | |
| { | |
| "rfilename": "model.onnx" | |
| }, | |
| { | |
| "rfilename": "model.safetensors" | |
| }, | |
| { | |
| "rfilename": "pytorch_model.bin" | |
| }, | |
| { | |
| "rfilename": "rust_model.ot" | |
| }, | |
| { | |
| "rfilename": "tf_model.h5" | |
| }, | |
| { | |
| "rfilename": "tokenizer.json" | |
| }, | |
| { | |
| "rfilename": "tokenizer_config.json" | |
| }, | |
| { | |
| "rfilename": "vocab.txt" | |
| } | |
| ], | |
| "spaces": [ | |
| "mteb/leaderboard", | |
| "microsoft/HuggingGPT", | |
| "Vision-CAIR/minigpt4", | |
| "lnyan/stablediffusion-infinity", | |
| "multimodalart/latentdiffusion", | |
| "mrfakename/MeloTTS", | |
| "Salesforce/BLIP", | |
| "shi-labs/Versatile-Diffusion", | |
| "yizhangliu/Grounded-Segment-Anything", | |
| "stepfun-ai/Step1X-Edit", | |
| "H-Liu1997/TANGO", | |
| "xinyu1205/recognize-anything", | |
| "cvlab/zero123-live", | |
| "hilamanor/audioEditing", | |
| "alexnasa/Chain-of-Zoom", | |
| "AIGC-Audio/AudioGPT", | |
| "Audio-AGI/AudioSep", | |
| "m-ric/chunk_visualizer", | |
| "jadechoghari/OpenMusic", | |
| "DAMO-NLP-SG/Video-LLaMA", | |
| "gligen/demo", | |
| "declare-lab/mustango", | |
| "Yiwen-ntu/MeshAnything", | |
| "exbert-project/exbert", | |
| "shgao/EditAnything", | |
| "LiruiZhao/Diffree", | |
| "Vision-CAIR/MiniGPT-v2", | |
| "Yuliang/ECON", | |
| "nikigoli/countgd", | |
| "THUdyh/Oryx", | |
| "IDEA-Research/Grounded-SAM", | |
| "Awiny/Image2Paragraph", | |
| "ShilongLiu/Grounding_DINO_demo", | |
| "OpenSound/CapSpeech-TTS", | |
| "merve/Grounding_DINO_demo", | |
| "yangheng/Super-Resolution-Anime-Diffusion", | |
| "liuyuan-pal/SyncDreamer", | |
| "XiangJinYu/SPO", | |
| "sam-hq-team/sam-hq", | |
| "haotiz/glip-zeroshot-demo", | |
| "TencentARC/BrushEdit", | |
| "Nick088/Audio-SR", | |
| "nateraw/lavila", | |
| "abyildirim/inst-inpaint", | |
| "Yiwen-ntu/MeshAnythingV2", | |
| "Pinwheel/GLIP-BLIP-Object-Detection-VQA", | |
| "Junfeng5/GLEE_demo", | |
| "shi-labs/Matting-Anything", | |
| "fffiloni/Video-Matting-Anything", | |
| "burtenshaw/autotrain-mcp", | |
| "Vision-CAIR/MiniGPT4-video", | |
| "linfanluntan/Grounded-SAM", | |
| "magicr/BuboGPT", | |
| "WensongSong/Insert-Anything", | |
| "nvidia/audio-flamingo-2", | |
| "multimodalart/MoDA-fast-talking-head", | |
| "clip-italian/clip-italian-demo", | |
| "OpenGVLab/InternGPT", | |
| "mteb/leaderboard_legacy", | |
| "hongfz16/3DTopia", | |
| "yenniejun/tokenizers-languages", | |
| "mmlab-ntu/relate-anything-model", | |
| "amphion/PicoAudio", | |
| "byeongjun-park/HarmonyView", | |
| "keras-io/bert-semantic-similarity", | |
| "MirageML/sjc", | |
| "fffiloni/vta-ldm", | |
| "NAACL2022/CLIP-Caption-Reward", | |
| "society-ethics/model-card-regulatory-check", | |
| "fffiloni/miniGPT4-Video-Zero", | |
| "AIGC-Audio/AudioLCM", | |
| "Gladiator/Text-Summarizer", | |
| "SVGRender/DiffSketcher", | |
| "ethanchern/Anole", | |
| "LittleFrog/IntrinsicAnything", | |
| "milyiyo/reimagine-it", | |
| "ysharma/text-to-image-to-video", | |
| "OpenGVLab/VideoChatGPT", | |
| "acmc/whatsapp-chats-finetuning-formatter", | |
| "ZebangCheng/Emotion-LLaMA", | |
| "zakaria-narjis/photo-enhancer", | |
| "kaushalya/medclip-roco", | |
| "AIGC-Audio/Make_An_Audio", | |
| "avid-ml/bias-detection", | |
| "sonalkum/GAMA", | |
| "topdu/OpenOCR-Demo", | |
| "RitaParadaRamos/SmallCapDemo", | |
| "llizhx/TinyGPT-V", | |
| "codelion/Grounding_DINO_demo", | |
| "flosstradamus/FluxMusicGUI", | |
| "bartar/tokenizers", | |
| "Tinkering/Pytorch-day-prez", | |
| "sasha/BiasDetection", | |
| "Pusheen/LoCo", | |
| "Jingkang/EgoGPT-7B", | |
| "flax-community/koclip", | |
| "TencentARC/VLog", | |
| "ynhe/AskAnything", | |
| "Volkopat/SegmentAnythingxGroundingDINO", | |
| "phyloforfun/VoucherVision" | |
| ], | |
| "createdAt": "2022-03-02T23:29:04.000Z", | |
| "safetensors": { | |
| "parameters": { | |
| "F32": 110106428 | |
| }, | |
| "total": 110106428 | |
| }, | |
| "inference": "warm", | |
| "usedStorage": 13397387509 | |
| }, | |
| "status": 200, | |
| "error": "" | |
| } | |
| --- STDERR --- | |
| [OK] test_hf_repo_info.py | |
| -------------------------------------------------------------------------------- | |
| === Running test_hf_site_search.py === | |
| Command: C:\Users\daqc\Documents\GitHub\open-deep-research-vulnerability-intelligence\venv\Scripts\python.exe C:\Users\daqc\Documents\GitHub\open-deep-research-vulnerability-intelligence\tests\test_hf_site_search.py | |
| --- INPUT (snippet) --- | |
| tool.forward(query="fine-tuning tutorial", limit=5) | |
| try: | |
| data = json.loads(result_json_str) | |
| print(json.dumps(data, indent=2, ensure_ascii=False)) | |
| except Exception: | |
| print(result_json_str) | |
| if __name__ == "__main__": | |
| main() | |
| --- STDOUT --- | |
| { | |
| "results": [ | |
| { | |
| "type": "site", | |
| "title": "Fine-tuning - Hugging Face", | |
| "url": "https://huggingface.co/docs/transformers/training", | |
| "snippet": "Fine-tuning adapts a pretrained model to a specific task with a smaller specialized dataset. This approach requires far less data and compute compared to training a model from scratch, which makes it a more accessible option for many users. Transformers provides the Trainer API, which offers a comprehensive set of training features, for fine-tuning any of the models on the Hub.", | |
| "date": null | |
| }, | |
| { | |
| "type": "site", | |
| "title": "Fine-tune a pretrained model - Hugging Face", | |
| "url": "https://huggingface.co/docs/transformers/v4.18.0/en/training", | |
| "snippet": "Before you can fine-tune a pretrained model, download a dataset and prepare it for training. The previous tutorial showed you how to process data for training, and now you get an opportunity to put those skills to the test!", | |
| "date": null | |
| }, | |
| { | |
| "type": "site", | |
| "title": "Let's Fine-Tune Your Model for Function-Calling - Hugging Face", | |
| "url": "https://huggingface.co/learn/agents-course/bonus-unit1/fine-tuning", | |
| "snippet": "In this tutorial, we will build a function-calling model based on google/gemma-2-2b-it. We choose the fine-tuned model google/gemma-2-2b-it instead of the base model google/gemma-2-2b because the fine-tuned model has been improved for our use-case.", | |
| "date": null | |
| }, | |
| { | |
| "type": "site", | |
| "title": "Fine-Tuning a Vision Language Model (Qwen2-VL-7B) with the Hugging Face ...", | |
| "url": "https://huggingface.co/learn/cookbook/fine_tuning_vlm_trl", | |
| "snippet": "Phil Schmid's tutorial: an excellent deep dive into fine-tuning multimodal LLMs with TRL. Merve Noyan's smol-vision repository: a collection of engaging notebooks on cutting-edge vision and multimodal AI topics.", | |
| "date": null | |
| }, | |
| { | |
| "type": "site", | |
| "title": "Fine-tuning a pretrained model - Hugging Face", | |
| "url": "https://huggingface.co/docs/transformers/v4.15.0/training", | |
| "snippet": "In this tutorial, we will show you how to fine-tune a pretrained model from the Transformers library. In TensorFlow, models can be directly trained using Keras and the fit method.", | |
| "date": null | |
| } | |
| ], | |
| "status": 200, | |
| "error": "" | |
| } | |
| --- STDERR --- | |
| [OK] test_hf_site_search.py | |
| -------------------------------------------------------------------------------- | |
| === Running test_hf_report_generate.py === | |
| Command: C:\Users\daqc\Documents\GitHub\open-deep-research-vulnerability-intelligence\venv\Scripts\python.exe C:\Users\daqc\Documents\GitHub\open-deep-research-vulnerability-intelligence\tests\test_hf_report_generate.py | |
| --- INPUT (snippet) --- | |
| tool.forward(data_json=json.dumps(data), title="Test Report") | |
| print(html[:500]) # print first 500 chars | |
| if __name__ == "__main__": | |
| main() | |
| --- STDOUT --- | |
| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="utf-8" /> | |
| <meta name="viewport" content="width=device-width, initial-scale=1" /> | |
| <title>Test Report</title> | |
| <style> | |
| :root { --bg:#0b0d12; --fg:#e6e9ef; --muted:#9aa4b2; --card:#121621; --accent:#5ac8fa; --warn:#eab308; } | |
| body { background:var(--bg); color:var(--fg); font-family: ui-sans-serif, system-ui, -apple-system, Segoe UI, Roboto, Inter, Arial, sans-serif; margin:0; padding:24px; } | |
| h1 { font-size: 24px; margin: 0 0 | |
| --- STDERR --- | |
| [OK] test_hf_report_generate.py | |
| -------------------------------------------------------------------------------- | |
| === Running test_hf_generate_dashboard_report.py === | |
| Command: C:\Users\daqc\Documents\GitHub\open-deep-research-vulnerability-intelligence\venv\Scripts\python.exe C:\Users\daqc\Documents\GitHub\open-deep-research-vulnerability-intelligence\tests\test_hf_generate_dashboard_report.py | |
| --- INPUT (snippet) --- | |
| tool.forward(query="semantic search", limit=5) | |
| print(html[:500]) # print first 500 chars | |
| if __name__ == "__main__": | |
| main() | |
| --- STDOUT --- | |
| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="utf-8" /> | |
| <meta name="viewport" content="width=device-width, initial-scale=1" /> | |
| <title>Hugging Search � Dashboard</title> | |
| <style> | |
| :root { --bg:#0b0d12; --fg:#e6e9ef; --muted:#9aa4b2; --card:#121621; --accent:#5ac8fa; --warn:#eab308; } | |
| body { background:var(--bg); color:var(--fg); font-family: ui-sans-serif, system-ui, -apple-system, Segoe UI, Roboto, Inter, Arial, sans-serif; margin:0; padding:24px; } | |
| .container { max-wi | |
| --- STDERR --- | |
| [OK] test_hf_generate_dashboard_report.py | |
| -------------------------------------------------------------------------------- | |