Delete f.py

f.py

@@ -1,18 +0,0 @@
-pip install transformers sentencepiece
-pip install torch
-import torch
-from transformers import AutoTokenizer, AutoModel
-tokenizer = AutoTokenizer.from_pretrained("cointegrated/rubert-tiny2")
-model = AutoModel.from_pretrained("cointegrated/rubert-tiny2")
-# model.cuda()  # uncomment it if you have a GPU
-
-def embed_bert_cls(text, model, tokenizer):
-    t = tokenizer(text, padding=True, truncation=True, return_tensors='pt')
-    with torch.no_grad():
-        model_output = model(**{k: v.to(model.device) for k, v in t.items()})
-    embeddings = model_output.last_hidden_state[:, 0, :]
-    embeddings = torch.nn.functional.normalize(embeddings)
-    return embeddings[0].cpu().numpy()
-
-print(embed_bert_cls('привет мир', model, tokenizer).shape)
-# (312,)