Huggingface transformers 里的模型加载的两种方式的写法
transformers
huggingface/transformers: 是一个基于 Python 的自然语言处理库,它使用了 PostgreSQL 数据库存储数据。适合用于自然语言处理任务的开发和实现,特别是对于需要使用 Python 和 PostgreSQL 数据库的场景。特点是自然语言处理库、Python、PostgreSQL 数据库。
项目地址:https://gitcode.com/gh_mirrors/tra/transformers
免费下载资源
·
Huggingface transformers 里的模型加载的两种方式的写法:
在线方式:
from transformers import AutoModel, AutoTokenizer
import gradio as gr
import mdtex2html
from utils import load_model_on_gpus
tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm2-6b", trust_remote_code=True)
model = AutoModel.from_pretrained("THUDM/chatglm2-6b", trust_remote_code=True).cuda()
离线方式:
from transformers import AutoModel, AutoTokenizer
import gradio as gr
import mdtex2html
from utils import load_model_on_gpus
tokenizer = AutoTokenizer.from_pretrained(
r"E:\\chat-glm\\huggingface_hub_cache\\models--THUDM--chatglm2-6b\\snapshots\\7fabe56db91e085c9c027f56f1c654d137bdba40\\",
trust_remote_code=True)
model = AutoModel.from_pretrained(
r"E:\\chat-glm\\huggingface_hub_cache\\models--THUDM--chatglm2-6b\\snapshots\\7fabe56db91e085c9c027f56f1c654d137bdba40\\",
trust_remote_code=True).cuda()
GitHub 加速计划 / tra / transformers
130.24 K
25.88 K
下载
huggingface/transformers: 是一个基于 Python 的自然语言处理库,它使用了 PostgreSQL 数据库存储数据。适合用于自然语言处理任务的开发和实现,特别是对于需要使用 Python 和 PostgreSQL 数据库的场景。特点是自然语言处理库、Python、PostgreSQL 数据库。
最近提交(Master分支:2 个月前 )
6ba31a8a
* bookmark
* Bookmark
* Bookmark
* Actually implement
* Pass in kwarg explicitly
* Adjust for if we do or don't have labels
* Bookmark fix for od
* bookmark
* Fin
* closer
* Negate accelerate grad accum div
* Fixup not training long enough
* Add in compute_loss to take full model output
* Document
* compute_loss -> compute_loss_fn
* Add a test
* Refactor
* Refactor
* Uncomment tests
* Update tests/trainer/test_trainer.py
Co-authored-by: Daniel Han <danielhanchen@gmail.com>
---------
Co-authored-by: Daniel Han <danielhanchen@gmail.com> 8 小时前
7a06d07e
* Support Llama 3.2 conversion (text models)
Co-authored-by: Omar Sanseviero <osanseviero@gmail.com>
* Fix rope factor
* Update chat template
Initialize from a well-known template.
The guidance is that the changes should be applied to 3.1 models as
well.
* Remove import
* Support Llama Guard 3 conversion
* Tokenizer details
* Fix eos added token in base models
* Fix generation config for base models
* Specify revision for known tokenizers
* Style
* Reuse chat templates for older models
* Improve error when converting tokenizer < Llama 3
---------
Co-authored-by: Omar Sanseviero <osanseviero@gmail.com> 8 小时前
更多推荐
已为社区贡献14条内容
所有评论(0)