Update parquet files

README.md

@@ -1,3 +0,0 @@
----
-license: afl-3.0
----

ppp.txt

@@ -1,70 +0,0 @@
-ou aren't part of it already
-  !curl -X POST -H 'Authorization: Bearer '$hf_token -H 'Content-Type: application/json' https://huggingface.co/organizations/sd-concepts-library/share/VcLXJtzwwxnHYCkNMLpSJCdnNFZHQwWywv
-  images_upload = os.listdir("my_concept")
-  image_string = ""
-  repo_id = f"sd-concepts-library/{slugify(name_of_your_concept)}"
-  for i, image in enumerate(images_upload):
-      image_string = f'''{image_string}![{placeholder_token} {i}](https://huggingface.co/{repo_id}/resolve/main/concept_images/{image})
-'''
-  if(what_to_teach == "style"):
-      what_to_teach_article = f"a `{what_to_teach}`"
-  else:#@title Save your newly created concept to the [library of concepts](https://huggingface.co/sd-concepts-library)?
-
-save_concept_to_public_library = True #@param {type:"boolean"}
-name_of_your_concept = "tzuyu m" #@param {type:"string"}
-#@markdown `hf_token_write`: leave blank if you logged in with a token with `write access` in the [Initial Setup](#scrollTo=KbzZ9xe6dWwf). If not, [go to your tokens settings and create a write access token](https://huggingface.co/settings/tokens)
-hf_token_write = "" #@param {type:"string"}
-
-if(save_concept_to_public_library):
-  from slugify import slugify
-  from huggingface_hub import HfApi, HfFolder, CommitOperationAdd
-  from huggingface_hub import create_repo
-  repo_id = f"sd-concepts-library/{slugify(name_of_your_concept)}"
-  output_dir = hyperparameters["output_dir"]
-  if(not hf_token_write):
-    with open(HfFolder.path_token, 'r') as fin: hf_token = fin.read();
-  else:
-    hf_token = hf_token_write
-  #Join the Concepts Library organization if y
-      what_to_teach_article = f"an `{what_to_teach}`"
-  readme_text = f'''---
-license: mit
----
-### {name_of_your_concept} on Stable Diffusion
-This is the `{placeholder_token}` concept taught to Stable Diffusion via Textual Inversion. You can load this concept into the [Stable Conceptualizer](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/stable_conceptualizer_inference.ipynb) notebook. You can also train your own concepts and load them into the concept libraries using [this notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_textual_inversion_training.ipynb).
-
-Here is the new concept you will be able to use as {what_to_teach_article}:
-{image_string}
-'''
-  #Save the readme to a file
-  readme_file = open("README.md", "w")
-  readme_file.write(readme_text)
-  readme_file.close()
-  #Save the token identifier to a file
-  text_file = open("token_identifier.txt", "w")
-  text_file.write(placeholder_token)
-  text_file.close()
-  #Save the type of teached thing to a file
-  type_file = open("type_of_concept.txt","w")
-  type_file.write(what_to_teach)
-  type_file.close()
-  operations = [
-    CommitOperationAdd(path_in_repo="learned_embeds.bin", path_or_fileobj=f"{output_dir}/learned_embeds.bin"),
-    CommitOperationAdd(path_in_repo="token_identifier.txt", path_or_fileobj="token_identifier.txt"),
-    CommitOperationAdd(path_in_repo="type_of_concept.txt", path_or_fileobj="type_of_concept.txt"),
-    CommitOperationAdd(path_in_repo="README.md", path_or_fileobj="README.md"),
-  ]
-  create_repo(repo_id,private=True, token=hf_token)
-  api = HfApi()
-  api.create_commit(
-    repo_id=repo_id,
-    operations=operations,
-    commit_message=f"Upload the concept {name_of_your_concept} embeds and token",
-    token=hf_token
-  )
-  api.upload_folder(
-    folder_path=save_path,
-    path_in_repo="concept_images",
-    repo_id=repo_id,
-    token=hf_token
-  )

ppppssss--human/text-train.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:662951f1c0478bcfa9effa5ed7a00df9b3e4b5a8fa805988e5e29b12b89bb774
+size 2903