is_torch_npu_availableandis_torch_tpu_availableare not equivalent, I'm afraid. I suspect that yourtransformersversion is a bit too old, as it seems likeis_torch_npu_availabledoes not yet exist in it. Could you runpip show transformersto see what version you're on? For reference, Sentence...
is_torch_npu_available ImportError: cannot import name 'is_torch_npu_available' from 'transformers' (<redacted>/del/env/lib/python3.12/site-packages/transformers/__init__.py) ❯ find ./env -type f -name '*.py' -exec grep -l is_torch_npu_available {} + ./env/lib/python3.12/site...
import transformers import torch import torch_npu model_id = "meta-llama/Meta-Llama-3-8B-Instruct" device = "npu:0" if torch.npu.is_available() else "cpu" pipeline = transformers.pipeline( "text-generation", model=model_id, model_kwargs={"torch_dtype": torch.bfloat16}, device=device...
# 导入必要的库和模块importos# 导入操作系统模块importpathlib# 导入路径操作模块importtempfile# 导入临时文件模块importuuid# 导入 UUID 模块importnumpyasnp# 导入 NumPy 库from..utilsimport(# 导入自定义工具模块中的函数和类is_soundfile_availble,# 检查是否可用的音频文件模块is_torch_available,# 检查是否可用...
build_pipeline_init_args# 如果 Torch 可用,则从相对路径导入模型映射名称ifis_torch_available():from..models.auto.modeling_autoimportMODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES# 获取日志记录器logger = logging.get_logger(__name__)defffmpeg_read(bpayload:bytes, sampling_rate:int) -> np.array:""...
torch hub 集成:检查 torch hub 集成是否正常工作。 自托管(推送):仅在main上的提交上在 GPU 上运行快速测试。仅在main上的提交更新了以下文件夹中的代码时才运行:src,tests,.github(以防止在添加模型卡、笔记本等时运行)。 自托管的运行器:在tests和examples中的GPU 上运行正常和慢速测试: 代码语言:javasc...
from transformers import PreTrainedTokenizerFast, BatchEncoding, DataCollatorWithPadding, XLMRobertaForMaskedLM, is_torch_npu_available File "", line 1055, in _handle_fromlist File "/data-ai/adp/anaconda3/envs/python3.91/lib/python3.9/site-packages/transformers/utils/import_utils.py", line 1766,...
target_devices=["npu:{}".format(i)foriinrange(torch.npu.device_count())] 325329 else: 326- logger.info("CUDA is not available. Starting 4 CPU workers") 330+ logger.info("CUDA/NPUis not available. Starting 4 CPU workers") 327331 ...
_is_hf_initialized标志在内部用于确保我们只初始化一个子模块一次。通过将其设置为True,我们确保自定义初始化不会被后来覆盖,_init_weights函数不会应用于它们。 6. 编写转换脚本 接下来,您应该编写一个转换脚本,让您可以将您在原始存储库中用于调试brand_new_bert的检查点转换为与您刚刚创建的🤗 Transformers 实...
The assumption here is that all warning messages are unique across the code. If they aren't then need to switch to another type of cache that includes the caller frame information in the hashing function. """# 调用 logger 的 warning 方法,传递相同的参数和关键字参数self.warning(*args, **kw...