429
huggingface
network_error
ai_generated
true
HTTPError: 429 客户端错误:请求过多,URL:https://huggingface.co/api/models/gpt2
HTTPError: 429 Client Error: Too Many Requests for url: https://huggingface.co/api/models/gpt2
ID: huggingface/hub-rate-limit-exceeded
90%修复率
88%置信度
1证据数
2023-09-01首次发现
版本兼容性
| 版本 | 状态 | 引入 | 弃用 | 备注 |
|---|---|---|---|---|
| huggingface-hub 0.22.0 | active | — | — | — |
| requests 2.31.0 | active | — | — | — |
| Python 3.11 | active | — | — | — |
根因分析
由于短时间内请求过多(未认证用户通常每分钟100个请求),Hugging Face Hub API速率限制已超出。
English
The Hugging Face Hub API rate limit has been exceeded due to too many requests in a short time period (typically 100 requests per minute for unauthenticated users).
官方文档
https://huggingface.co/docs/hub/en/rate-limits解决方案
-
在请求之间添加延迟,使用 `time.sleep()` 或使用 `huggingface_hub` 库的内置重试逻辑。例如: from huggingface_hub import HfApi import time api = HfApi() models = ['gpt2', 'bert-base-uncased', 'roberta-base'] for model_id in models: model_info = api.model_info(model_id) time.sleep(1) # 每次请求等待1秒 -
使用Hugging Face令牌进行身份验证以获得更高的速率限制(例如每分钟1000个请求)。通过 `huggingface-cli login` 或 `HfApi(token='hf_...')` 设置令牌。
无效尝试
常见但无效的做法:
-
95% 失败
Rate limits are enforced per IP/token; more parallel requests will hit the limit faster and trigger the error sooner.
-
90% 失败
Without caching, every request counts against the rate limit, making the problem worse.