subfolder:一个字符串,如果相关文件位于huggingface.co上model repo的一个子文件夹内(例如facebook/rag-token-base),请在此指定它。 use_fast:一个字符串,默认为True。如果一个给定的模型支持fast Rust-based tokenizer,就设为True,否则设为False(将返回一个普通的Python-based tokenizer)。
which we currently also use for cpu offloading. I think it could be relatively easy to write a generic function inhttps://github.com/huggingface/diffusers/blob/main/src/diffusers/pipelines/pipeline_utils.pythat makes sure that components are correctly moved to different GPU devices in case the u...
from huggingface_hub import HfApi from loguru import logger from transformers import ( AutoConfig, AutoImageProcessor, Expand All @@ -14,6 +13,7 @@ TrainingArguments, ) from autotrain import logger from autotrain.trainers.image_classification import utils from autotrain.trainers.image_classification...
IV. Mixed Precision with other ways of executing model Apart from the above usecases, there are many places that serve as Model Hub. For example,HuggingFaceis a popular place where one can pick easy to experiment scripts to try a model. To enable mixed precision with we can use the keras...
def __init__( self, texts: Iterable[str], tokenizer: Union[str, PreTrainedTokenizer], max_seq_length: int = None, sort: bool = True, lazy: bool = False, ): """ Args: texts (Iterable): Iterable object with text tokenizer (str or tokenizer): pre trained huggingface tokenizer or mode...
git-based system for storing models and other artifacts on huggingface.co, so ``revision`` can be any identifier allowed by git. return_unused_kwargs (:obj:`bool`, `optional`, defaults to :obj:`False`): If :obj:`False`, then this function returns just the final feature extractor objec...
@@ -839,10 +839,10 @@ def train(co2_tracker, payload, huggingface_token, model_path): seed=42, resolution=job_config.image_size, mixed_precision="fp16", train_batch_size=job_config.train_batch_size, train_batch_size=job_config.batch_size, gradient_accumulation_steps=1, use_8bit_adam...
ImportErrorTraceback(mostrecentcalllast)CellIn[2],line21# Create LLM--->2llm=LLM("TheBloke/Mistral-7B-OpenOrca-AWQ")3# /root/.cache/huggingface/hub/models--TheBloke--Mistral-7B-OpenOrca-AWQFile/venv/lib/python3.10/site-packages/txtai/pipeline/llm/llm.py:34,inLLM.__init__(self,path...
from huggingface_hub import snapshot_download from awq.quantize.quantizer import AwqQuantizer import transformers from transformers.modeling_utils import shard_checkpoint from awq.modules.linear import WQLinear_GEMM, WQLinear_GEMV from awq.utils.module import ( get_named_linears, set_op_by_name...
(*args, **kwargs) ^^^ File "/root/.cache/huggingface/modules/transformers_modules/phi3.5-vision-instruct/modeling_phi3_v.py", line 1603, in forward outputs = self.model( ^^^ File "/usr/local/lib/python3.11/dist-packages/torch/nn/modules/module.py", line 1553, in _wrapped_call_...