The previous section covered the tokenization steps and conversion from string tokens into integer token IDs in great detail. The next step before we can finally create the embeddings for theLLMis to generate th
import * as tsutils from "ts-api-utils"should not throw an error. Actual node:internal/errors:477 ErrorCaptureStackTrace(err); ^ Error [ERR_MODULE_NOT_FOUND]: Cannot find module '/Users/josh/repos/ts-api-utils/lib/tokens' imported from /Users/josh/repos/ts-api-utils/lib/comments.js ...
from torch.utils.data import DataLoader num_workers = 0 batch_size = 8 torch.manual_seed(123) train_dataset = PreferenceDataset(train_data, tokenizer) train_loader = DataLoader( train_dataset, batch_size=batch_size, collate_fn=customized_collate_fn, shuffle=True, drop_last=True, num_workers...
from torch.utils.data import DataLoader num_workers = 0 batch_size = 8 torch.manual_seed(123) train_dataset = InstructionDataset(train_data, tokenizer) train_loader = DataLoader( train_dataset, batch_size=batch_size, collate_fn=customized_collate_fn, shuffle=True, drop_last=True, num_workers...
1 + import { LITELLM_API_BASE_URL } from '$lib/constants'; 2 + 3 + export const getLiteLLMModels = async (token: string = '') => { 4 + let error = null; 5 + 6 + const res = await fetch(`${LITELLM_API_BASE_URL}/v1/models`, { 7 + method: 'GET', 8 +...
from previous_chapters import plot_losses epochs_tensor = torch.linspace(0, num_epochs, len(train_losses)) plot_losses(epochs_tensor, tokens_seen, train_losses, val_losses) As we can see, the loss decreases sharply at the beginning of the first epoch, which means the model starts learning...
from textacy.text_utils import KWIC def kwic(doc_series, keyword, window=35, print_samples=5): def add_kwic(text): kwic_list.extend(KWIC(text, keyword, ignore_case=True, window_width=window, print_only=False)) kwic_list = [] doc_series.map(add_kwic) if print_samples is None or pr...
import torch # 安装 torchcrf pip install pytorch-crf -i https://pypi.tuna.tsinghua.edu.cn/simple/ # pip list 显示的时候是 TorchCRF 然而导入的时候是用 import torchcrf 或者 from torchcrf import CRF from torchcrf import CRF num_tags = 5 # 实体命名识别 每个汉字可以预测多少中类型 ...
Issues while accessing files in timeseries folder on ADLS gen2 from Azure Synapse Hi, I have mounted the container in synapse workspace and I need to list all the file present in subfolders using Synapse notebook. The same code is working on windows but not on s...
import rag_tokenizer, tokenize, tokenize_table, add_positions, bullets_category, title_frequency, tokenize_chunks, docx_question_level 7 from deepdoc.parser import PdfParser, PlainParser 8 from rag.utils import num_tokens_from_string File ~/Downloads/rag_full_stack_course_notebooks/notebook/rag/...